Post-doc/research engineer position in deep learning for sentiment analysis
The Machine Learning team of the LITIS laboratory is still looking for a post-doctoral researcher or a research engineer, for a position in deep learning for sentiment analysis, funded by by the ANR CATCH project.
Title: Deep Learning for opinion mining in human testimonials related to industrial accident
Keywords: deep learning, NLP, sentiment analysis, twitter
Location: LITIS lab., University or Rouen Normandy, Rouen, France
Duration: 18-months, starting as soon as possible
Salary: ~2300€/month (before income tax), including social security coverage in line with French regulations
Please find the detailed description of the position attached to this email.
This position is still unfilled, so please feel free to forward to anyone who might be interested.
Best regards,
--
Simon Bernard
LITIS / NormaSTIC FR CNRS 3638
Université de Rouen Normandie, France
https://pagesperso.litislab.fr/sbernard/
✔️ @ApplyTime
The Machine Learning team of the LITIS laboratory is still looking for a post-doctoral researcher or a research engineer, for a position in deep learning for sentiment analysis, funded by by the ANR CATCH project.
Title: Deep Learning for opinion mining in human testimonials related to industrial accident
Keywords: deep learning, NLP, sentiment analysis, twitter
Location: LITIS lab., University or Rouen Normandy, Rouen, France
Duration: 18-months, starting as soon as possible
Salary: ~2300€/month (before income tax), including social security coverage in line with French regulations
Please find the detailed description of the position attached to this email.
This position is still unfilled, so please feel free to forward to anyone who might be interested.
Best regards,
--
Simon Bernard
LITIS / NormaSTIC FR CNRS 3638
Université de Rouen Normandie, France
https://pagesperso.litislab.fr/sbernard/
✔️ @ApplyTime
Simon Bernard
- Simon Bernard
Simon Bernard, PhD, assistant professor at the University of Rouen Normandie (France) and member of the 'Machine Learning' research team at the LITIS lab.
Open Post-Doc position in Artificial Intelligence and Image Analysis for Extraction of graphic elements in comics books for emotion recognitionPost-doctoral research position - L3i - La Rochelle France
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Title : Extraction of graphic elements in comics books for emotion recognition
The L3i laboratory has one open post-doc position in computer science, in the specific field of document image analysis and pattern recognition
Duration: 12 months (an extension of 12 months will be possible)
Position available from: As soon as possible, 2021
Salary: approximately 2100 € / month (net)
Place: L3i lab, University of La Rochelle, France
Specialty: Computer Science/ Image Processing/ Document Analysis/ Pattern Recognition
Contact: Jean-Christophe BURIE (jcburie [at] univ-lr.fr)
Position Description
The L3i is a research lab of the University of La Rochelle. La Rochelle is a city in the south west of France on the Atlantic coast and is one of the most attractive and dynamic cities in France. The L3i works since several years on document analysis and has developed a well-known expertise in ‘Bande dessinée”, manga and comics analysis, indexing and understanding.
The work done by the post-doc will take part in the context of SAiL (Sequential Art Image Laboratory) a joint laboratory involving L3i and a private company. The objective is to create innovative tools to index and interact with digitised comics. The work will be done in a team of 10 researchers and engineers.
The work will consist in developing original approaches for extracting and recognizing graphics elements in comic panels in order to recognize emotions. Authors usually used different strategies for representing emotions such as shape of speech balloon, specific symbols, colour of the faces, etc. These elements are drawn among the other graphic elements (main characters, scenery, …) making the localisation and the extraction challenging. In order to extract these specific elements, the development of original approaches will be necessary. Deep learning-based strategies can be explored to reach this goal. This work will be done in collaboration with other researchers working on text understanding.
Qualifications
Candidates must have a completed PhD and a research experience in image processing and analysis, pattern recognition. Some knowledge and experience in deep learning are also recommended.
General Qualifications
• Good programming skills mastering at least one programming language like Python, Java, C/C++
• Good teamwork skills
• Good writing skills and proficiency in written and spoken English or French
Applications
Candidates should send a CV and a motivation letter to jcburie[at]univ-lr.fr.
--
Jean-Christophe Burie
--
Vice-président campus numérique système d'information
Professeur des Universités
Département Informatique - Laboratoire L3i
- Directeur Adjoint du Laboratoire Informatique Image Interaction (L3i)
- Directeur du laboratoire Commun SAIL (Sequential Art Image Laboratory)
(+33) 06 42 05 36 26 / (+33) 05 46 45 87 62
[email protected]
Laboratoire Informatique, Image et Interaction (L3i)
La Rochelle Université
Avenue Michel Crépeau
17042 La Rochelle cedex 1
l3i.univ-larochelle.fr
univ-larochelle.fr
✔️ @ApplyTime
---------------------------------------------------------------------------------------------------------------------------
Title : Extraction of graphic elements in comics books for emotion recognition
The L3i laboratory has one open post-doc position in computer science, in the specific field of document image analysis and pattern recognition
Duration: 12 months (an extension of 12 months will be possible)
Position available from: As soon as possible, 2021
Salary: approximately 2100 € / month (net)
Place: L3i lab, University of La Rochelle, France
Specialty: Computer Science/ Image Processing/ Document Analysis/ Pattern Recognition
Contact: Jean-Christophe BURIE (jcburie [at] univ-lr.fr)
Position Description
The L3i is a research lab of the University of La Rochelle. La Rochelle is a city in the south west of France on the Atlantic coast and is one of the most attractive and dynamic cities in France. The L3i works since several years on document analysis and has developed a well-known expertise in ‘Bande dessinée”, manga and comics analysis, indexing and understanding.
The work done by the post-doc will take part in the context of SAiL (Sequential Art Image Laboratory) a joint laboratory involving L3i and a private company. The objective is to create innovative tools to index and interact with digitised comics. The work will be done in a team of 10 researchers and engineers.
The work will consist in developing original approaches for extracting and recognizing graphics elements in comic panels in order to recognize emotions. Authors usually used different strategies for representing emotions such as shape of speech balloon, specific symbols, colour of the faces, etc. These elements are drawn among the other graphic elements (main characters, scenery, …) making the localisation and the extraction challenging. In order to extract these specific elements, the development of original approaches will be necessary. Deep learning-based strategies can be explored to reach this goal. This work will be done in collaboration with other researchers working on text understanding.
Qualifications
Candidates must have a completed PhD and a research experience in image processing and analysis, pattern recognition. Some knowledge and experience in deep learning are also recommended.
General Qualifications
• Good programming skills mastering at least one programming language like Python, Java, C/C++
• Good teamwork skills
• Good writing skills and proficiency in written and spoken English or French
Applications
Candidates should send a CV and a motivation letter to jcburie[at]univ-lr.fr.
--
Jean-Christophe Burie
--
Vice-président campus numérique système d'information
Professeur des Universités
Département Informatique - Laboratoire L3i
- Directeur Adjoint du Laboratoire Informatique Image Interaction (L3i)
- Directeur du laboratoire Commun SAIL (Sequential Art Image Laboratory)
(+33) 06 42 05 36 26 / (+33) 05 46 45 87 62
[email protected]
Laboratoire Informatique, Image et Interaction (L3i)
La Rochelle Université
Avenue Michel Crépeau
17042 La Rochelle cedex 1
l3i.univ-larochelle.fr
univ-larochelle.fr
✔️ @ApplyTime
Research Scholar - Just transitions to net zero carbon emissions | Deadline: 2 January
The EF Program is looking to recruit a Research Scholar with a strong background in quantitative empirical research for the “Just transitions to net zero carbon emissions for all” (JustTrans4All) project. The successful candidate will study factors supporting just energy transitions and explore potential implications for human wellbeing.
Background
The newly founded Economic Frontiers (EF) Program aspires to provide a comprehensive, rigorous and multidisciplinary framework for studying the changes to economic systems and behaviors that are required to shift production and consumption to patterns that are fair, sustainable and resilient. Explicit consideration will be given to
(i) Economics of equal life chances,
(ii) Economics of disruptive changes,
(iii) Economic governance of transitional change,
(iv) Economic development and wellbeing in a finite and interlinked world.
The program’s research integrates tightly with the natural, environmental, population, and systems science frameworks that IIASA is leading on, thus providing the multi-disciplinary approach needed for an understanding of the transition to sustainable, fair and resilient economies.
The position
The successful candidate will join the JustTrans4All project (project duration Sep 2021 – Dec 2023) and support the project team with the empirical analysis of drivers of just energy transitions and resulting implications for wellbeing using international micro and macro level data and innovative statistical and econometric methods.
The JustTrans4All project contributes to novel analyses of transition pathways that are socially and environmentally just. It will inform policy design aiming at achieving high levels of human wellbeing within planetary boundaries, in line with the UN 2030 Agenda and the Paris Agreement. As a collaborative effort of three research programs at IIASA (Economic Frontiers (EF), Energy, Climate, and Environment (ECE), Population and Just Societies (POPJUS)), the project aims at studying conditions that enable just transitions and developing a first comprehensive set of just transition scenarios towards a net-zero carbon society. For this, the interdisciplinary team combines soft-systems analysis approaches grounded in ethical reasoning with quantitative empirical and prospective modelling techniques.
As part of the empirical work package of the project, the incumbent will first support the collection of international longitudinal data on energy access and transitions as well as data on multidimensional poverty, inequality, decent living standards, and human wellbeing; second, the candidate will empirically investigate how different factors and conditions (with a focus on governance and human capital) influence just transitions to net zero carbon emissions and what their human wellbeing implications are; and third, the candidate will provide estimates and inputs that can be used to develop a set of prospective models and just transition scenarios to assess how alternative pathways can ensure fair energy transitions and an equal distribution of wellbeing over time and space. Fourth, ideally the candidate will also contribute to the modeling of the impact of transition-induced health gains relying on an economic burden of disease framework. JustTrans4All will enhance IIASA policy impact by providing guidance on designing policies for socio-ecological transformation that enjoy societal support and leave no one behind.
The EF Program is looking to recruit a Research Scholar with a strong background in quantitative empirical research for the “Just transitions to net zero carbon emissions for all” (JustTrans4All) project. The successful candidate will study factors supporting just energy transitions and explore potential implications for human wellbeing.
Background
The newly founded Economic Frontiers (EF) Program aspires to provide a comprehensive, rigorous and multidisciplinary framework for studying the changes to economic systems and behaviors that are required to shift production and consumption to patterns that are fair, sustainable and resilient. Explicit consideration will be given to
(i) Economics of equal life chances,
(ii) Economics of disruptive changes,
(iii) Economic governance of transitional change,
(iv) Economic development and wellbeing in a finite and interlinked world.
The program’s research integrates tightly with the natural, environmental, population, and systems science frameworks that IIASA is leading on, thus providing the multi-disciplinary approach needed for an understanding of the transition to sustainable, fair and resilient economies.
The position
The successful candidate will join the JustTrans4All project (project duration Sep 2021 – Dec 2023) and support the project team with the empirical analysis of drivers of just energy transitions and resulting implications for wellbeing using international micro and macro level data and innovative statistical and econometric methods.
The JustTrans4All project contributes to novel analyses of transition pathways that are socially and environmentally just. It will inform policy design aiming at achieving high levels of human wellbeing within planetary boundaries, in line with the UN 2030 Agenda and the Paris Agreement. As a collaborative effort of three research programs at IIASA (Economic Frontiers (EF), Energy, Climate, and Environment (ECE), Population and Just Societies (POPJUS)), the project aims at studying conditions that enable just transitions and developing a first comprehensive set of just transition scenarios towards a net-zero carbon society. For this, the interdisciplinary team combines soft-systems analysis approaches grounded in ethical reasoning with quantitative empirical and prospective modelling techniques.
As part of the empirical work package of the project, the incumbent will first support the collection of international longitudinal data on energy access and transitions as well as data on multidimensional poverty, inequality, decent living standards, and human wellbeing; second, the candidate will empirically investigate how different factors and conditions (with a focus on governance and human capital) influence just transitions to net zero carbon emissions and what their human wellbeing implications are; and third, the candidate will provide estimates and inputs that can be used to develop a set of prospective models and just transition scenarios to assess how alternative pathways can ensure fair energy transitions and an equal distribution of wellbeing over time and space. Fourth, ideally the candidate will also contribute to the modeling of the impact of transition-induced health gains relying on an economic burden of disease framework. JustTrans4All will enhance IIASA policy impact by providing guidance on designing policies for socio-ecological transformation that enjoy societal support and leave no one behind.
Main duties and responsibilities
Contribute actively to the research of the JustTrans4All Project, especially on topics related to the analysis of drivers of just energy transitions and the implications for wellbeing
Support the collection of relevant international data at the micro and macro level. Preparing and managing data sources for the project
Conduct statistical analyses on just energy transitions and wellbeing implications
Carry out research that advances the state-of-the-art on the topic, publish relevant results in peer-reviewed journals, and participate in scientific conferences and workshops
Actively engage with other researchers in the EF, POPJUS, and other IIASA programs, to establish joint research activities
In line with the team spirit that prevails at IIASA, the incumbent may occasionally work on other tasks assigned by their superiors, that might not be directly related to this appointment but where the post holder has relevant experience and skills, and/or a shortage of immediate personnel capabilities requires such.
Qualifications
PhD in demography, quantitative social sciences, statistics, economics, sociology or other related field(s) coupled with solid expertise and interest in the topic of just energy transitions
Proven competence in statistics/econometrics; experience with relevant statistical packages e.g., R, STATA and/or Python
Extensive empirical research experience in the social sciences, including demonstrated experience in developing research plans, collecting and managing data, and carrying out statistical analyses
Experience with data processing and handling of large-scale datasets at the micro and macro level. Preferably experience with georeferenced data
Track record in research and publication output corresponding to the career stage of the successful candidate
Excellent command of written and spoken English
Innovative and critical thinking. Proven independence in conducting research
Demonstrated willingness and ability to actively engage in collaboration within a multi-disciplinary environment
Willingness to engage with stakeholders in communicating and devising research, and to engage in capacity building efforts
IIASA offers an interdisciplinary and international workplace, and the possibility to interact with researchers of different nationalities, with strong ties to a world-wide network of research institutions engaged in environmental systems research. The successful candidate must be able to work in, and have respect for, an intercultural environment, and IIASA core values.
✔️ @ApplyTime
Contribute actively to the research of the JustTrans4All Project, especially on topics related to the analysis of drivers of just energy transitions and the implications for wellbeing
Support the collection of relevant international data at the micro and macro level. Preparing and managing data sources for the project
Conduct statistical analyses on just energy transitions and wellbeing implications
Carry out research that advances the state-of-the-art on the topic, publish relevant results in peer-reviewed journals, and participate in scientific conferences and workshops
Actively engage with other researchers in the EF, POPJUS, and other IIASA programs, to establish joint research activities
In line with the team spirit that prevails at IIASA, the incumbent may occasionally work on other tasks assigned by their superiors, that might not be directly related to this appointment but where the post holder has relevant experience and skills, and/or a shortage of immediate personnel capabilities requires such.
Qualifications
PhD in demography, quantitative social sciences, statistics, economics, sociology or other related field(s) coupled with solid expertise and interest in the topic of just energy transitions
Proven competence in statistics/econometrics; experience with relevant statistical packages e.g., R, STATA and/or Python
Extensive empirical research experience in the social sciences, including demonstrated experience in developing research plans, collecting and managing data, and carrying out statistical analyses
Experience with data processing and handling of large-scale datasets at the micro and macro level. Preferably experience with georeferenced data
Track record in research and publication output corresponding to the career stage of the successful candidate
Excellent command of written and spoken English
Innovative and critical thinking. Proven independence in conducting research
Demonstrated willingness and ability to actively engage in collaboration within a multi-disciplinary environment
Willingness to engage with stakeholders in communicating and devising research, and to engage in capacity building efforts
IIASA offers an interdisciplinary and international workplace, and the possibility to interact with researchers of different nationalities, with strong ties to a world-wide network of research institutions engaged in environmental systems research. The successful candidate must be able to work in, and have respect for, an intercultural environment, and IIASA core values.
✔️ @ApplyTime
Postdoc on AI for the Operating Room of the Future
The Visual Artificial Intelligence Laboratory at Oxford Brookes University, led by Professor Fabio Cuzzolin, is seeking a Postdoctoral Researcher in AI for the Operating Room of the Future, to be appointed as soon as possible after October 1st 2021, full-time, until December 31 2022.
The deadline for application is January 3rd 2022.
Salary: £32,817 rising annually to £35,845.
The Postdoc will lead the Lab’s efforts in the context of a new EPSRC Transformative Healthcare Technologies project entitled “MAESTRO Jr - Multi-sensing AI Environment for Surgical Task & Role Optimisation”, and led by Dr George Mylonas of Imperial College London.
The project’s overarching objective is to take radical steps towards the development of an AI-centred operating room of the 2050s. It envisages a smart operating room environment (which we term MAESTRO, in analogy with the way an orchestra conductor, a 'maestro', oversees, overhears and directs a group of people on a common task) powered by trustable, human-understanding artificial intelligence, able to continually adapt and learn the best way to optimise safety, efficacy, teamwork, economy, and clinical outcomes.
In particular the Postdoc will lead the work on multi-sensing situation awareness, event detection and automated checklisting, detection of cognitive overload in surgical staff, and continual learning for perception and decision making.
The Visual Artificial Intelligence Laboratory
https://cms.brookes.ac.uk/staff/FabioCuzzolin/
is a fast-growing research unit currently running on a budget of £3 million from nine live projects funded by the EU (2), Innovate UK (2), Leverhulme, Huawei, the British Council and others. We are leaders in the field of deep learning for action and event detection, but our research interests span artificial intelligence, uncertainty theory, machine learning, computer vision, autonomous driving, surgical and mobile robotics, AI for healthcare.
The Lab is currently pioneering frontier topics in AI such as machine theory of mind, self-supervised learning, continual learning and future event prediction. The Laboratory is part of the University’s new Institute for Ethical AI and is in the process of launching a new start-up to develop the world’s first AI-powered coaching app for competitive sports.
You will join a vibrant and fast growing team foreseen to comprise 35+ people in 2022. You will support Prof Cuzzolin in the overall management of the project. You will be working on a network of cutting edge 4-GPU and 8-GPU workstations, mentor PhD and MSc students and seek additional external funding to complement the Lab’s existing activities.
You are encouraged to contact Prof Cuzzolin at [email protected] for more information and an informal feedback on your application.
To formally apply, please follow the instructions provided here:
https://my.corehr.com/pls/oburecruit/erq_jobspec_details_form.jobspec?p_id=117337
✔️ @ApplyTime
The Visual Artificial Intelligence Laboratory at Oxford Brookes University, led by Professor Fabio Cuzzolin, is seeking a Postdoctoral Researcher in AI for the Operating Room of the Future, to be appointed as soon as possible after October 1st 2021, full-time, until December 31 2022.
The deadline for application is January 3rd 2022.
Salary: £32,817 rising annually to £35,845.
The Postdoc will lead the Lab’s efforts in the context of a new EPSRC Transformative Healthcare Technologies project entitled “MAESTRO Jr - Multi-sensing AI Environment for Surgical Task & Role Optimisation”, and led by Dr George Mylonas of Imperial College London.
The project’s overarching objective is to take radical steps towards the development of an AI-centred operating room of the 2050s. It envisages a smart operating room environment (which we term MAESTRO, in analogy with the way an orchestra conductor, a 'maestro', oversees, overhears and directs a group of people on a common task) powered by trustable, human-understanding artificial intelligence, able to continually adapt and learn the best way to optimise safety, efficacy, teamwork, economy, and clinical outcomes.
In particular the Postdoc will lead the work on multi-sensing situation awareness, event detection and automated checklisting, detection of cognitive overload in surgical staff, and continual learning for perception and decision making.
The Visual Artificial Intelligence Laboratory
https://cms.brookes.ac.uk/staff/FabioCuzzolin/
is a fast-growing research unit currently running on a budget of £3 million from nine live projects funded by the EU (2), Innovate UK (2), Leverhulme, Huawei, the British Council and others. We are leaders in the field of deep learning for action and event detection, but our research interests span artificial intelligence, uncertainty theory, machine learning, computer vision, autonomous driving, surgical and mobile robotics, AI for healthcare.
The Lab is currently pioneering frontier topics in AI such as machine theory of mind, self-supervised learning, continual learning and future event prediction. The Laboratory is part of the University’s new Institute for Ethical AI and is in the process of launching a new start-up to develop the world’s first AI-powered coaching app for competitive sports.
You will join a vibrant and fast growing team foreseen to comprise 35+ people in 2022. You will support Prof Cuzzolin in the overall management of the project. You will be working on a network of cutting edge 4-GPU and 8-GPU workstations, mentor PhD and MSc students and seek additional external funding to complement the Lab’s existing activities.
You are encouraged to contact Prof Cuzzolin at [email protected] for more information and an informal feedback on your application.
To formally apply, please follow the instructions provided here:
https://my.corehr.com/pls/oburecruit/erq_jobspec_details_form.jobspec?p_id=117337
✔️ @ApplyTime
Research Fellowships at Northeastern University
We are accepting applications for our new Research Fellowship program. This is a fully funded 1-2 year program to allow new PhDs to focus on research before transitioning to a tenure-track Assistant Professor position at Northeastern. It is a great opportunity for people that want a bit more experience and mentoring before starting a tenure track job. We are particularly interested in candidates who are traditionally underrepresented in computing and higher education. More details can be found at the link below.
https://www.khoury.northeastern.edu/research/fellowship/
Christopher Amato
Assistant Professor
Khoury College of Computer Sciences
Northeastern University
https://www.ccs.neu.edu/home/camato/
✔️ @ApplyTime
We are accepting applications for our new Research Fellowship program. This is a fully funded 1-2 year program to allow new PhDs to focus on research before transitioning to a tenure-track Assistant Professor position at Northeastern. It is a great opportunity for people that want a bit more experience and mentoring before starting a tenure track job. We are particularly interested in candidates who are traditionally underrepresented in computing and higher education. More details can be found at the link below.
https://www.khoury.northeastern.edu/research/fellowship/
Christopher Amato
Assistant Professor
Khoury College of Computer Sciences
Northeastern University
https://www.ccs.neu.edu/home/camato/
✔️ @ApplyTime
Postdoctoral Fellow on Machine Learning for Energy Forecasting at Basque Center for Applied Mathematics
New Postdoctoral Fellow on Machine Learning for Energy Forecasting
This work is framed in IA4TES – Inteligencia Artifical para la Transición Energética Sostenible project. This offer, in particular, is to work in Machine Learning group at Basque Center for Applied Mathematics, where Machine Learning for Energy Forecasting topic will be worked.
Deadline of application: December 10, 2021
Applications must be submitted on-line at: https://www.bcamath.org/en/research/job/ic2021-11-postdoctoral-fellow-on-machine-learning-for-energy-forecasting
Requirement: Applicants must have their PhD completed before the contract starts
Skills:
Good interpersonal skills.
A proven track record in quality research, as evidenced by research publications in top scientific journals and conferences.
Demonstrated ability to work independently and as part of a collaborative research team.
Ability to present and publish research outcomes in spoken (talks) and written (papers) form.
Ability to effectively communicate and present research ideas to researchers and stakeholders with different backgrounds.
Fluency in spoken and written Spanish and English.
The preferred candidate will have: Strong background in mathematics/statistics. Strong background in data science/machine learning. Background in time series prediction. Background in energy-related applications such as load forecasting. Good programming skills in Python and/or Matlab. Interest and disposition to work in interdisciplinary groups and collaborate with multiple companies/institutions.
✔️ @ApplyTime
New Postdoctoral Fellow on Machine Learning for Energy Forecasting
This work is framed in IA4TES – Inteligencia Artifical para la Transición Energética Sostenible project. This offer, in particular, is to work in Machine Learning group at Basque Center for Applied Mathematics, where Machine Learning for Energy Forecasting topic will be worked.
Deadline of application: December 10, 2021
Applications must be submitted on-line at: https://www.bcamath.org/en/research/job/ic2021-11-postdoctoral-fellow-on-machine-learning-for-energy-forecasting
Requirement: Applicants must have their PhD completed before the contract starts
Skills:
Good interpersonal skills.
A proven track record in quality research, as evidenced by research publications in top scientific journals and conferences.
Demonstrated ability to work independently and as part of a collaborative research team.
Ability to present and publish research outcomes in spoken (talks) and written (papers) form.
Ability to effectively communicate and present research ideas to researchers and stakeholders with different backgrounds.
Fluency in spoken and written Spanish and English.
The preferred candidate will have: Strong background in mathematics/statistics. Strong background in data science/machine learning. Background in time series prediction. Background in energy-related applications such as load forecasting. Good programming skills in Python and/or Matlab. Interest and disposition to work in interdisciplinary groups and collaborate with multiple companies/institutions.
✔️ @ApplyTime
www.bcamath.org
Call Postdoctoral Fellowship - BCAM - Basque Center for Applied Mathematics
Call Post Doc
Postdoctoral Associate in Child Psychopathology at Yale Child Study Center
We are seeking an exceptional, motivated, and creative Postdoctoral Associate to be involved in prospective studies of infants with elevated likelihood for Autism Spectrum Disorders (ASD) as well as toddlers with ASD. The Associate will join an interdisciplinary research team at the Social and Affective Neuroscience of Autism Program: https://medicine.yale.edu/lab/chawarska/.
The postdoctoral associate will work as part of the Yale Autism Center of Excellence (ACE) Program Project (ace.yale.edu) team at the Yale Child Study Center (CSC) led by Prof. Chawarska. The Yale NIH ACE Research project represents a joint effort across child psychiatry, pediatrics, radiology, and statistics and data science departments at Yale. The ACE project aims to identify prenatal and neonatal brain processes contributing to development of autism.
During the two-year postdoctoral program, the associate will be expected to lead and participate in the development and implementation of novel eye-tracking, MRI, fNIRS, and behavioral protocols targeting early markers of core and co-occurring features in autism. The postdoctoral associate will also be expected to take a leadership role on data analysis and manuscript preparation based on the extensive data collection through the ACE and SANA research programs. The postdoctoral associate will train and supervise research staff and students and assist with data management. Other responsibilities may include assisting with behavioral, physiological and neuroimaging studies as well as in grant writing. Candidates with a strong methodological background, statistical skills, expertise in eye-tracking, MRI, and fNIRS, as well as in programming, excellent communication skills, and a strong publication record will be reviewed favorably.
Anticipated start date is July 1, 2022. The priority application deadline is January 15, 2022. Please visit our lab website for application instructions and more information about the position: https://medicine.yale.edu/lab/chawarska/jobs/psychology/
Position Category: Postdoctoral
Name of Lab: Yale Social and Affective Neuroscience of Autism (SANA) Program
Name of Supervisor: Katarzyna Chawarska, PhD
Closing Date: Open until filled (priority deadline: January 15, 2022)
Emma Brennan-Wydra, MSI
Pronouns: she/her/hers [what’s this?]
Data Manager, Social and Affective Neuroscience of Autism Program
Yale Child Study Center
c: 617-306-7350 | e: [email protected]
✔️ @ApplyTime
We are seeking an exceptional, motivated, and creative Postdoctoral Associate to be involved in prospective studies of infants with elevated likelihood for Autism Spectrum Disorders (ASD) as well as toddlers with ASD. The Associate will join an interdisciplinary research team at the Social and Affective Neuroscience of Autism Program: https://medicine.yale.edu/lab/chawarska/.
The postdoctoral associate will work as part of the Yale Autism Center of Excellence (ACE) Program Project (ace.yale.edu) team at the Yale Child Study Center (CSC) led by Prof. Chawarska. The Yale NIH ACE Research project represents a joint effort across child psychiatry, pediatrics, radiology, and statistics and data science departments at Yale. The ACE project aims to identify prenatal and neonatal brain processes contributing to development of autism.
During the two-year postdoctoral program, the associate will be expected to lead and participate in the development and implementation of novel eye-tracking, MRI, fNIRS, and behavioral protocols targeting early markers of core and co-occurring features in autism. The postdoctoral associate will also be expected to take a leadership role on data analysis and manuscript preparation based on the extensive data collection through the ACE and SANA research programs. The postdoctoral associate will train and supervise research staff and students and assist with data management. Other responsibilities may include assisting with behavioral, physiological and neuroimaging studies as well as in grant writing. Candidates with a strong methodological background, statistical skills, expertise in eye-tracking, MRI, and fNIRS, as well as in programming, excellent communication skills, and a strong publication record will be reviewed favorably.
Anticipated start date is July 1, 2022. The priority application deadline is January 15, 2022. Please visit our lab website for application instructions and more information about the position: https://medicine.yale.edu/lab/chawarska/jobs/psychology/
Position Category: Postdoctoral
Name of Lab: Yale Social and Affective Neuroscience of Autism (SANA) Program
Name of Supervisor: Katarzyna Chawarska, PhD
Closing Date: Open until filled (priority deadline: January 15, 2022)
Emma Brennan-Wydra, MSI
Pronouns: she/her/hers [what’s this?]
Data Manager, Social and Affective Neuroscience of Autism Program
Yale Child Study Center
c: 617-306-7350 | e: [email protected]
✔️ @ApplyTime
Chawarska Lab
Yale Social and Affective Neuroscience of Autism Program (SANA)
Work in our lab is focused on early social and affective development of children with Autism Spectrum Disorder (ASD) and other disabilities. We aim to discover
Postdoc on Document Analysis & Recognition at NC State University, USA
Dear all,
We have a postdoc opening on developing Arabic handwritten text recognition systems at the NC State University, North Carolina, USA.
No Arabic knowledge is needed but please make sure that you are good at deep learning and you are in one of the following fields: document analysis, computer vision, and image processing. You will be jointly supervised by a humanity faculty member and an ECE faculty member (me).
More details about the opening including the application link can be found here:
https://jobs.ncsu.edu/postings/152807
If you have any questions, please don't hesitate to let me know. I also highly appreciate it if you could forward this opening to relevant parties.
Sincerely,
Chau-Wai Wong
Assistant Professor
ECE, NC State University
✔️ @ApplyTime
Dear all,
We have a postdoc opening on developing Arabic handwritten text recognition systems at the NC State University, North Carolina, USA.
No Arabic knowledge is needed but please make sure that you are good at deep learning and you are in one of the following fields: document analysis, computer vision, and image processing. You will be jointly supervised by a humanity faculty member and an ECE faculty member (me).
More details about the opening including the application link can be found here:
https://jobs.ncsu.edu/postings/152807
If you have any questions, please don't hesitate to let me know. I also highly appreciate it if you could forward this opening to relevant parties.
Sincerely,
Chau-Wai Wong
Assistant Professor
ECE, NC State University
✔️ @ApplyTime
Postdoc on vision-based human body-tracking for healthcare applications (Brest, France)
Topic: Vision-based human body-tracking for healthcare applications
Domain: Computer Vision (Computer Science, Artificial Intelligence)
Project: ECFvisuL
Contract duration: 18 months
Geographic location: Brest, France
Department: RAMBO team, Computer Science Department, IMT Atlantique
Minimum degree required: Doctorate (PhD)
Starting date: As soon as possible, 1 January 2023 at latest
Gross annual salary: Between 34 400 € and 35 650 € (depending on your experience)
Application deadline: 31 January 2022
Apply here: https://institutminestelecom.recruitee.com/o/postdoctorant-intelligence-artificielle-vision-par-ordinateur-fh-cdd-18-mois
1. ENVIRONMENT
The postdoctorate will be located at IMT Atlantique, on its Brest campus, in the RAMBO team [1] (member of Lab-STICC laboratory, mixed research unit of CNRS #6285) and supervised by the associate professors Mihai Andries [2] and Panagiotis Papadakis [3]. The research domains of the RAMBO team are Cognitive Robotics, Robot Learning, Ambient assisted living and Human-robot interaction. The team possesses a LivingLab for e-Health/Smart Living Experiment'HAAL [4], equipped with sensors for tracking human activity, where experiments related to the project can be performed, as well as a GERT ageing simulator.
This project is part of the RAMBO research activities on ageing-at-home and is complementary to our ongoing research on the recognition of activities of daily living (ADL).
[1] https://www.imt-atlantique.fr/en/research-innovation/teams/research-team-rambo
[2] https://mihai.andries.eu/
[3] https://sites.google.com/site/pgpapadakis
[4] https://www.imt-atlantique.fr/sites/default/files/recherche/plateformes/en/experiment_haal.pdf
2. MISSION
Functional capacity evaluation (FCE) is a set of dynamical tests consisting of functional evaluations (sitting, kneeling, standing, bending, climbing a staircase, grasping an object, lifting, carrying, etc.) which provide information on the capacity of a person do act in a work environment. FCE is currently used by employers and medical professionals to decide when an employee is ready to return to work but it can be more broadly used as an indicator of human musculoskeletal health.
We propose to develop an automatic solution for continuous FCE in a domestic environment on the basis of a Computer Vision system for tracking human body posture. Such a system would acquire more temporal data on the musculoskeletal capacity of a human than a typical doctor during an FCE session, producing more robust evaluation results.
3. SKILLS AND ABILITIES:
Knowledge:
Required:
* know statistics;
* know machine learning techniques for human-body posture recognition;
* know English Language (B2 level at least).
Desirable:
* know the scientific literature on musculoskeletal disorders;
* know how to conceive experiments on physical capacity evaluation;
* know how to write scientific articles.
Competences :
Required:
* apply machine learning techniques for human activity recognition;
* apply machine learning techniques for visual estimation of carried weight;
* present your research work to a scientific audience, as well as to the general public.
Desirable:
* use a 3D motion capture device (like Optitrack);
* use software for visual recognition of human-body posture (like MargiPose or Skeleton Tracking SDK);
* use inertial sensors.
Personal traits:
* be able to work in a team;
* be able to communicate regularly with your colleagues and supervisors.
4. HOW TO SUBMIT YOUR APPLICATION ?
Please submit your application through the Recruitee [5] system.
[5] https://institutminestelecom.recruitee.com/o/postdoctorant-intelligence-artificielle-vision-par-ordinateur-fh-cdd-18-mois
Topic: Vision-based human body-tracking for healthcare applications
Domain: Computer Vision (Computer Science, Artificial Intelligence)
Project: ECFvisuL
Contract duration: 18 months
Geographic location: Brest, France
Department: RAMBO team, Computer Science Department, IMT Atlantique
Minimum degree required: Doctorate (PhD)
Starting date: As soon as possible, 1 January 2023 at latest
Gross annual salary: Between 34 400 € and 35 650 € (depending on your experience)
Application deadline: 31 January 2022
Apply here: https://institutminestelecom.recruitee.com/o/postdoctorant-intelligence-artificielle-vision-par-ordinateur-fh-cdd-18-mois
1. ENVIRONMENT
The postdoctorate will be located at IMT Atlantique, on its Brest campus, in the RAMBO team [1] (member of Lab-STICC laboratory, mixed research unit of CNRS #6285) and supervised by the associate professors Mihai Andries [2] and Panagiotis Papadakis [3]. The research domains of the RAMBO team are Cognitive Robotics, Robot Learning, Ambient assisted living and Human-robot interaction. The team possesses a LivingLab for e-Health/Smart Living Experiment'HAAL [4], equipped with sensors for tracking human activity, where experiments related to the project can be performed, as well as a GERT ageing simulator.
This project is part of the RAMBO research activities on ageing-at-home and is complementary to our ongoing research on the recognition of activities of daily living (ADL).
[1] https://www.imt-atlantique.fr/en/research-innovation/teams/research-team-rambo
[2] https://mihai.andries.eu/
[3] https://sites.google.com/site/pgpapadakis
[4] https://www.imt-atlantique.fr/sites/default/files/recherche/plateformes/en/experiment_haal.pdf
2. MISSION
Functional capacity evaluation (FCE) is a set of dynamical tests consisting of functional evaluations (sitting, kneeling, standing, bending, climbing a staircase, grasping an object, lifting, carrying, etc.) which provide information on the capacity of a person do act in a work environment. FCE is currently used by employers and medical professionals to decide when an employee is ready to return to work but it can be more broadly used as an indicator of human musculoskeletal health.
We propose to develop an automatic solution for continuous FCE in a domestic environment on the basis of a Computer Vision system for tracking human body posture. Such a system would acquire more temporal data on the musculoskeletal capacity of a human than a typical doctor during an FCE session, producing more robust evaluation results.
3. SKILLS AND ABILITIES:
Knowledge:
Required:
* know statistics;
* know machine learning techniques for human-body posture recognition;
* know English Language (B2 level at least).
Desirable:
* know the scientific literature on musculoskeletal disorders;
* know how to conceive experiments on physical capacity evaluation;
* know how to write scientific articles.
Competences :
Required:
* apply machine learning techniques for human activity recognition;
* apply machine learning techniques for visual estimation of carried weight;
* present your research work to a scientific audience, as well as to the general public.
Desirable:
* use a 3D motion capture device (like Optitrack);
* use software for visual recognition of human-body posture (like MargiPose or Skeleton Tracking SDK);
* use inertial sensors.
Personal traits:
* be able to work in a team;
* be able to communicate regularly with your colleagues and supervisors.
4. HOW TO SUBMIT YOUR APPLICATION ?
Please submit your application through the Recruitee [5] system.
[5] https://institutminestelecom.recruitee.com/o/postdoctorant-intelligence-artificielle-vision-par-ordinateur-fh-cdd-18-mois
Institut Mines-Télécom
Careers - Jobs - Institut Mines-Télécom
You will need:
* your CV,
* a motivation letter,
* a copy of your doctorate diploma, and
* contact details of two referees.
Eligibility criteria apply regarding candidate's mobility: the postdoctoral candidate must have spent at least 18 months outside of France between 1 May 2018 and the contract starting date.
Applications will be processed on a continuous basis.
The deadline for submitting your application is 31 January 2022 .
For any questions regarding this position, please contact Mihai Andries at [email protected]
5. REFERENCES
* Devanne, Maxime, and Panagiotis Papadakis.
"Recognition of activities of daily living via hierarchical long-short term memory networks."
In 2019 IEEE International Conference on Systems, Man and Cybernetics (SMC), pp. 3318-3324. IEEE, 2019.
https://ieeexplore.ieee.org/document/8914457
* C. Le Bono, P. Papadakis, C. Buche,
Assessment of Conformal Use of Personal Protective Equipment by Object and Human Pose Recognition,
IEEE International Conference on Safety, Security and Rescue Robotics (SSRR), 2020
https://hal-imt-atlantique.archives-ouvertes.fr/hal-03001159/document
* Andries, Mihai.
"Object and human tracking, and robot control through a load sensing floor."
PhD diss., Université de Lorraine, 2015.
https://hal.inria.fr/tel-01252938/file/thesis.pdf
6. BREST
Brest is a middle-sized town on the French Atlantic coast, home to a population of nearly 140 thousand people in 2018. Located near the western tip of the Brittany peninsula, it has a temperate oceanic climate, with mild summers and wet winters.
Almost entirely destroyed during WW2, the city center was rebuilt in Art Deco style. Historical monuments include the Brest castle, the Tanguy tower, and the Saint-Louis church. Gastronomically, Brittany is known for its galettes, crêpes, the Far breton and the Kouign Amann. Profiting from its beautiful coastline, Brest offers plenty of summer water activities. The Blancs Sablons beach, popular among the locals, is only 25 minutes away by car. The picturesque GR34 coastline trail [6] is famous among hikers.
Brest hosts offices of Naval Group, THALES, Dassault Systemes, Ifremer, Université Bretagne occidentale and IMT Atlantique, among others. Brest is connected by high-speed rail to Rennes (2h) and Paris (3h45). The Brest international airport [7] offers direct flights to Lisbon and Porto, Majorca, and Heraklion in Greece, as well as to national destinations like Nice, Lyon, and Toulouse.
[6] https://en.wikipedia.org/wiki/GR_34
[7] https://www.brest.aeroport.bzh/accueil
✔️ @ApplyTime
* your CV,
* a motivation letter,
* a copy of your doctorate diploma, and
* contact details of two referees.
Eligibility criteria apply regarding candidate's mobility: the postdoctoral candidate must have spent at least 18 months outside of France between 1 May 2018 and the contract starting date.
Applications will be processed on a continuous basis.
The deadline for submitting your application is 31 January 2022 .
For any questions regarding this position, please contact Mihai Andries at [email protected]
5. REFERENCES
* Devanne, Maxime, and Panagiotis Papadakis.
"Recognition of activities of daily living via hierarchical long-short term memory networks."
In 2019 IEEE International Conference on Systems, Man and Cybernetics (SMC), pp. 3318-3324. IEEE, 2019.
https://ieeexplore.ieee.org/document/8914457
* C. Le Bono, P. Papadakis, C. Buche,
Assessment of Conformal Use of Personal Protective Equipment by Object and Human Pose Recognition,
IEEE International Conference on Safety, Security and Rescue Robotics (SSRR), 2020
https://hal-imt-atlantique.archives-ouvertes.fr/hal-03001159/document
* Andries, Mihai.
"Object and human tracking, and robot control through a load sensing floor."
PhD diss., Université de Lorraine, 2015.
https://hal.inria.fr/tel-01252938/file/thesis.pdf
6. BREST
Brest is a middle-sized town on the French Atlantic coast, home to a population of nearly 140 thousand people in 2018. Located near the western tip of the Brittany peninsula, it has a temperate oceanic climate, with mild summers and wet winters.
Almost entirely destroyed during WW2, the city center was rebuilt in Art Deco style. Historical monuments include the Brest castle, the Tanguy tower, and the Saint-Louis church. Gastronomically, Brittany is known for its galettes, crêpes, the Far breton and the Kouign Amann. Profiting from its beautiful coastline, Brest offers plenty of summer water activities. The Blancs Sablons beach, popular among the locals, is only 25 minutes away by car. The picturesque GR34 coastline trail [6] is famous among hikers.
Brest hosts offices of Naval Group, THALES, Dassault Systemes, Ifremer, Université Bretagne occidentale and IMT Atlantique, among others. Brest is connected by high-speed rail to Rennes (2h) and Paris (3h45). The Brest international airport [7] offers direct flights to Lisbon and Porto, Majorca, and Heraklion in Greece, as well as to national destinations like Nice, Lyon, and Toulouse.
[6] https://en.wikipedia.org/wiki/GR_34
[7] https://www.brest.aeroport.bzh/accueil
✔️ @ApplyTime
ieeexplore.ieee.org
Recognition of Activities of Daily Living via Hierarchical Long-Short Term Memory Networks
In order to offer optimal and personalized assistance services to frail people, smart homes or assistive robots must be able to understand the context and activities of users. With this outlook, we propose a vision-based approach for understanding activities…
Post doctoral position on time series analysis of,data living on the SPD manifold
We are seeking an outstanding postdoctoral research fellow with experience in deep learning / machine learning to work with us at Caen University, France during one year on a project investigating the analysis of time series of data corresponding to SPD matrices. The challenge here will be to define machine learning methods and more specifically deep learning methods (either convolutional or recursive) to analyze these data by using all the interesting properties of this specific manifold.
Context
The postdoctoral position is funded for one year under the research project PredictAlert supported by the Region Normandy (France). The PredictAlert project gathers engineering schools and universities around the design of a better understanding of the brain states during different states of wakefulness.
Objectives and challenges
The project is based on data from a cohort being currently acquired. It includes EEG and MRI acquisitions performed while subjects are falling asleep for a nap. In both cases, an acquisition in a given time window, is characterized by a SPD matrix. Each entry of this matrix correspond either to a correlation between two sensors in the case of an EEG acquisition or a correlation between two brain’s zones in the case of an IRM acquisition.
In a first step the candidate will have to work on EEG acquisitions in order to design a deep learning algorithm predicting quantified levels of wakefulness along long EEG sequences. Convolutional [1, 3] or recurrent [2, 4] networks on the SPD manifold will be both studded and evaluated before a focus on the more promising approach.
While functional IRM sequences may also be characterized as time series of SPD matrices, these sequences are based on data with a much better spatial resolution than EEGs. This come at the price of a much lower temporal resolution compared EEG acquisitions. The candidate will have to adapt the work already done on EEG data to functional IRM datum and to compare both results.
Candidate profile
The candidate must have a recent Ph.D. (within 5 years) in Computer science (or Applied Mathematics) in the field of Machine Learning.
Knowledge and experience within Deep Learning frameworks is highly recommended.
The candidate will perform research and algorithmic developments and solid programming skills are required.
Interpersonal skills and the ability to work well individually or as a member of a project team are recommended.
Good written and verbal communication skills are required, the candidate has to be fluent in spoken French or English and written English. Working language can be English or French.
Location
Caen, France in the GREYC UMR CNRS laboratory. Situated in the Normandy region of France close to the sea and about 240km west of Paris the city still has many old quarters, a population of around 120,000 the city area has roughly 250,000 inhabitants. Some photos
Application
Interested candidates should submit their application to
[email protected] and
[email protected]
Please include in your application email one Curriculum Vitae, one statement of research letter explaining your interest and your skills for this position, and 2 reference letters (all in a single PDF file). Applications will be admitted until the position is filled.
Additional information
Host institution: ENSICAEN, University of Caen Normandy and CNRS, GREYC laboratory (UMR 6072)
Gross Salary: between 2339 and 3268 euros per month according to experience (charges included)
Duration: 12 months.
Starting date: from January 2020
Advantages: Possibility of French courses, participation in transport costs, possibility of restoration on site.
References
We are seeking an outstanding postdoctoral research fellow with experience in deep learning / machine learning to work with us at Caen University, France during one year on a project investigating the analysis of time series of data corresponding to SPD matrices. The challenge here will be to define machine learning methods and more specifically deep learning methods (either convolutional or recursive) to analyze these data by using all the interesting properties of this specific manifold.
Context
The postdoctoral position is funded for one year under the research project PredictAlert supported by the Region Normandy (France). The PredictAlert project gathers engineering schools and universities around the design of a better understanding of the brain states during different states of wakefulness.
Objectives and challenges
The project is based on data from a cohort being currently acquired. It includes EEG and MRI acquisitions performed while subjects are falling asleep for a nap. In both cases, an acquisition in a given time window, is characterized by a SPD matrix. Each entry of this matrix correspond either to a correlation between two sensors in the case of an EEG acquisition or a correlation between two brain’s zones in the case of an IRM acquisition.
In a first step the candidate will have to work on EEG acquisitions in order to design a deep learning algorithm predicting quantified levels of wakefulness along long EEG sequences. Convolutional [1, 3] or recurrent [2, 4] networks on the SPD manifold will be both studded and evaluated before a focus on the more promising approach.
While functional IRM sequences may also be characterized as time series of SPD matrices, these sequences are based on data with a much better spatial resolution than EEGs. This come at the price of a much lower temporal resolution compared EEG acquisitions. The candidate will have to adapt the work already done on EEG data to functional IRM datum and to compare both results.
Candidate profile
The candidate must have a recent Ph.D. (within 5 years) in Computer science (or Applied Mathematics) in the field of Machine Learning.
Knowledge and experience within Deep Learning frameworks is highly recommended.
The candidate will perform research and algorithmic developments and solid programming skills are required.
Interpersonal skills and the ability to work well individually or as a member of a project team are recommended.
Good written and verbal communication skills are required, the candidate has to be fluent in spoken French or English and written English. Working language can be English or French.
Location
Caen, France in the GREYC UMR CNRS laboratory. Situated in the Normandy region of France close to the sea and about 240km west of Paris the city still has many old quarters, a population of around 120,000 the city area has roughly 250,000 inhabitants. Some photos
Application
Interested candidates should submit their application to
[email protected] and
[email protected]
Please include in your application email one Curriculum Vitae, one statement of research letter explaining your interest and your skills for this position, and 2 reference letters (all in a single PDF file). Applications will be admitted until the position is filled.
Additional information
Host institution: ENSICAEN, University of Caen Normandy and CNRS, GREYC laboratory (UMR 6072)
Gross Salary: between 2339 and 3268 euros per month according to experience (charges included)
Duration: 12 months.
Starting date: from January 2020
Advantages: Possibility of French courses, participation in transport costs, possibility of restoration on site.
References
[1] Rudrasis Chakraborty, Jose Bouza, Jonathan Manton, and Baba C Vemuri. Manifoldnet: A deep neural network for manifold-valued data with appli-
cations. IEEE Transactions on Pattern Analysis and Machine Intelligence, pages 1–1, 2020.
[2] Rudrasis Chakraborty, Chun-Hao Yang, Xingjian Zhen, Monami Banerjee, Derek Archer, David Vaillancourt, Vikas Singh, and Baba Vemuri. A statistical recurrent model on the manifold of symmetric positive definite matrices. In S. Bengio, H. Wallach, H. Larochelle, K. Grauman, N. Cesa-Bianchi, and R. Garnett, editors, Advances in Neural Information Processing Systems, volume 31. Curran Associates, Inc., 2018.
[3] Xuan Son Nguyen, Luc Brun, Olivier Lezoray, and Sébastien Bougleux. A neural network based on SPD manifold learning for skeleton-based hand
gesture recognition. In IEEE Conference on Computer Vision and Pattern Regognition (CVPR), Long Beach, United States, 2019.
[4] Xuan Son Nguyen, Luc Brun, Olivier Lézoray, and Sébastien Bougleux. Learning Recurrent High-order Statistics for Skeleton-based Hand Gesture Recognition. In International Conference on Pattern Recognition (ICPR -IEEE), Milan (virtual), Italy, 2021.
✔️ @ApplyTime
cations. IEEE Transactions on Pattern Analysis and Machine Intelligence, pages 1–1, 2020.
[2] Rudrasis Chakraborty, Chun-Hao Yang, Xingjian Zhen, Monami Banerjee, Derek Archer, David Vaillancourt, Vikas Singh, and Baba Vemuri. A statistical recurrent model on the manifold of symmetric positive definite matrices. In S. Bengio, H. Wallach, H. Larochelle, K. Grauman, N. Cesa-Bianchi, and R. Garnett, editors, Advances in Neural Information Processing Systems, volume 31. Curran Associates, Inc., 2018.
[3] Xuan Son Nguyen, Luc Brun, Olivier Lezoray, and Sébastien Bougleux. A neural network based on SPD manifold learning for skeleton-based hand
gesture recognition. In IEEE Conference on Computer Vision and Pattern Regognition (CVPR), Long Beach, United States, 2019.
[4] Xuan Son Nguyen, Luc Brun, Olivier Lézoray, and Sébastien Bougleux. Learning Recurrent High-order Statistics for Skeleton-based Hand Gesture Recognition. In International Conference on Pattern Recognition (ICPR -IEEE), Milan (virtual), Italy, 2021.
✔️ @ApplyTime
Ph.D. Position: Machine Learning in Audio, TU Ilmenau, Germany
The Applied Media Systems group of Ilmenau University of Technology in Ilmenau, Germany, is looking for candidates for a half-time Ph.D position (20 hours/week), in the area of machine learning for audio. The duties include teaching seminars and supervising students in Media Technology and Electrical Engineering.
Duration: starting with 3 years, can be extended up to 6 years.
Starting date: February 1st, 2022.
Our group works on audio coding, filter banks, autoencoders, stochastic optimization, audio and musical source separation.
The ideal candidate will have solid knowledge in digital signal processing and machine learning for audio and video.
Requirement: Master's in electrical engineering or similar, with focus on digital signal processing and/or machine learning for audio and/or video.
Essential is curiosity for learning, ideas, and ingenuity.
If you are interested, send me an email, with a few of your main achievements:
[email protected]
The official applications link is:
https://jobundkarriere.tu-ilmenau.de/jobposting/f8e166014bb5382777de6fee7cb10d877f98a70b0
Our groups website is:
https://www.tu-ilmenau.de/mt-ams
Many greetings,
Gerald Schuller
✔️ @ApplyTime
The Applied Media Systems group of Ilmenau University of Technology in Ilmenau, Germany, is looking for candidates for a half-time Ph.D position (20 hours/week), in the area of machine learning for audio. The duties include teaching seminars and supervising students in Media Technology and Electrical Engineering.
Duration: starting with 3 years, can be extended up to 6 years.
Starting date: February 1st, 2022.
Our group works on audio coding, filter banks, autoencoders, stochastic optimization, audio and musical source separation.
The ideal candidate will have solid knowledge in digital signal processing and machine learning for audio and video.
Requirement: Master's in electrical engineering or similar, with focus on digital signal processing and/or machine learning for audio and/or video.
Essential is curiosity for learning, ideas, and ingenuity.
If you are interested, send me an email, with a few of your main achievements:
[email protected]
The official applications link is:
https://jobundkarriere.tu-ilmenau.de/jobposting/f8e166014bb5382777de6fee7cb10d877f98a70b0
Our groups website is:
https://www.tu-ilmenau.de/mt-ams
Many greetings,
Gerald Schuller
✔️ @ApplyTime
Postdoc position in miniaturized flexures
for robotic surgery at University of Twente
The Surgical Robotics Lab
(https://urldefense.com/v3/__https://surgicalroboticslab.nl/__;!!LIr3w8kk_Xxm!-F2SfcCHZUXzC07ZDLKKVq12PwhJ6lq_ODvCblMJFC2pVvK0YSG1bK-JF-CQNZ-zy9EaPQ9c$ )
and the Precision Engineering Laboratory
(https://urldefense.com/v3/__https://www.utwente.nl/en/et/ms3/research-chairs/pe/*pe-lab__;Iw!!LIr3w8kk_Xxm!-F2SfcCHZUXzC07ZDLKKVq12PwhJ6lq_ODvCblMJFC2pVvK0YSG1bK-JF-CQNZ-zyzOg79Va$ )
of the University of Twente have a vacancy for a Postdoctoral Research Fellow
within the research area of flexure-based design of miniaturized tools for
applications in minimally invasive surgery (FlexMi). The FlexMi project aims
to use a model-based design methodology to develop a new class of flexure-
based robotic devices that work in tandem with remote magnetic actuation
systems to broaden the scope of minimally invasive surgery.
The successful applicant has (or will shortly) a PhD in mechanical
engineering, biomechanical engineering, applied physics or in a closely
related discipline. He or she possesses excellent skills and practical
experience in one or more of the following research areas: mechanical design,
non-linear mechanical modelling, system dynamics and mechatronics. Experience
at the intersection of one or more of these areas is desirable. Hands-on
experience with designing and executing experience is preferred. Fluency in
English is required.
We offer a challenging fulltime position for two years in an inspiring
multidisciplinary and international environment. Gross salary between €
3.408,- and € 4.474,- per month depending on experience and qualifications.
Additionally, the University of Twente provides excellent facilities for
professional and personal development, a holiday allowance and an end-of-year
bonus, and a lively and green campus with many facilities for sports and other
extracurricular activities. Your main responsibility will be to carry out
research, but you will be given the opportunity to acquire some teaching
experience and supervise students in Master and Bachelor projects as well.
Please apply through the following link.
https://urldefense.com/v3/__https://www.utwente.nl/en/organisation/careers/!/296/postdoc-position-in-miniaturized-flexure-joints-for-robotic-surgery-flexmi__;!!LIr3w8kk_Xxm!-F2SfcCHZUXzC07ZDLKKVq12PwhJ6lq_ODvCblMJFC2pVvK0YSG1bK-JF-CQNZ-zyxPdLuek$
The application deadline is January 31, 2022.
Questions regarding this position can be directed to Dr.ir. Jan de Jong,
PDEng: [email protected]<mailto:[email protected]> and Dr. Venkat
Kalpathy Venkiteswaran:
[email protected]<mailto:[email protected]> .
Regards,
Venkat
Venkatasubramanian Kalpathy Venkiteswaran
Assistant Professor
Department of Biomechanical Engineering
University of Twente
Email: [email protected]
✔️ @ApplyTime
for robotic surgery at University of Twente
The Surgical Robotics Lab
(https://urldefense.com/v3/__https://surgicalroboticslab.nl/__;!!LIr3w8kk_Xxm!-F2SfcCHZUXzC07ZDLKKVq12PwhJ6lq_ODvCblMJFC2pVvK0YSG1bK-JF-CQNZ-zy9EaPQ9c$ )
and the Precision Engineering Laboratory
(https://urldefense.com/v3/__https://www.utwente.nl/en/et/ms3/research-chairs/pe/*pe-lab__;Iw!!LIr3w8kk_Xxm!-F2SfcCHZUXzC07ZDLKKVq12PwhJ6lq_ODvCblMJFC2pVvK0YSG1bK-JF-CQNZ-zyzOg79Va$ )
of the University of Twente have a vacancy for a Postdoctoral Research Fellow
within the research area of flexure-based design of miniaturized tools for
applications in minimally invasive surgery (FlexMi). The FlexMi project aims
to use a model-based design methodology to develop a new class of flexure-
based robotic devices that work in tandem with remote magnetic actuation
systems to broaden the scope of minimally invasive surgery.
The successful applicant has (or will shortly) a PhD in mechanical
engineering, biomechanical engineering, applied physics or in a closely
related discipline. He or she possesses excellent skills and practical
experience in one or more of the following research areas: mechanical design,
non-linear mechanical modelling, system dynamics and mechatronics. Experience
at the intersection of one or more of these areas is desirable. Hands-on
experience with designing and executing experience is preferred. Fluency in
English is required.
We offer a challenging fulltime position for two years in an inspiring
multidisciplinary and international environment. Gross salary between €
3.408,- and € 4.474,- per month depending on experience and qualifications.
Additionally, the University of Twente provides excellent facilities for
professional and personal development, a holiday allowance and an end-of-year
bonus, and a lively and green campus with many facilities for sports and other
extracurricular activities. Your main responsibility will be to carry out
research, but you will be given the opportunity to acquire some teaching
experience and supervise students in Master and Bachelor projects as well.
Please apply through the following link.
https://urldefense.com/v3/__https://www.utwente.nl/en/organisation/careers/!/296/postdoc-position-in-miniaturized-flexure-joints-for-robotic-surgery-flexmi__;!!LIr3w8kk_Xxm!-F2SfcCHZUXzC07ZDLKKVq12PwhJ6lq_ODvCblMJFC2pVvK0YSG1bK-JF-CQNZ-zyxPdLuek$
The application deadline is January 31, 2022.
Questions regarding this position can be directed to Dr.ir. Jan de Jong,
PDEng: [email protected]<mailto:[email protected]> and Dr. Venkat
Kalpathy Venkiteswaran:
[email protected]<mailto:[email protected]> .
Regards,
Venkat
Venkatasubramanian Kalpathy Venkiteswaran
Assistant Professor
Department of Biomechanical Engineering
University of Twente
Email: [email protected]
✔️ @ApplyTime
Surgical Robotics Lab
Homepage - Surgical Robotics Lab
About Surgical Robotics Lab The Surgical Robotics Lab (SRL) is part of the Department of Biomechanical Engineering (Faculty of Engineering Technology) at the University of Twente, The Netherlands. SRL is directed by Prof. Sarthak Misra. We are also part of…
Three Deep learning and Computer Vision Postdoc Positions Jointly Supervised in Aristotle University of Thessaloniki, Greece and Henan University, China
Position Description
Three postdoctoral positions are immediately available at the Data Science and Artificial Intelligence Team/Lab, Henan University; the postdoc fellows will be co-supervised by Prof. Ioannis Pitas from Aristotle University of Thessaloniki, Greece.
The postdoc fellows can stay 4-5 months with Prof. Ioannis Pitas at Aristotle University of Thessaloniki, Greece; but they should stay in China for at least 7-8 months per year.
Position Location
The postdocs will be paid by Henan University, China. They will stay in Aristotle University of Thessaloniki (4-5 months), Thessaloniki, Greece, and Henan University (7-8 months), Kaifeng, China
Subject Areas
Deep learning and Computer Vision, including but not limited to Object Detection/Recognition, Region Segmentation and related topics.
Salary
1800~2200 EUR net per month.
Application Deadline
December 31st, 2022
Duration of the contract
The duration of the contract is 24~36 months, and can be extended up to 48 months.
Salary
a) The monthly net income of the Postdoctoral researcher is around 1800~2200 EUR (after taxes being deducted), paid by Henan University.
b) Additionally, the University will provide a total amount of 100,000 RMB as the candidate's research funding, which can be used for research purposes such as conferences, traveling, meetings, etc. Note: This research funding is once for all, not per year.
Note: The Living expenses in Kaifeng is relatively low. For instance,
Accommodation cost (two bedrooms, one living room) in Kaifeng is about 150~200 EUR per month. Food cost in KaiFeng is about 100-150 EUR per month.
Requirements/Qualifications
1. The successful candidates should hold a PhD degree in machine learning, or computer vision/pattern recognition, or other related fields.
2. At the time of appointment, the applicants must be no more than 35 years old in age.
3. The applicants should have good publication records in the above-mentioned fields.
About Aristotle University of Thessaloniki, Greece
Artificial Intelligence and Information Analysis Lab (https://aiia.csd.auth.gr/) Aristotle at University of Thessaloniki (AUTH) has one the best R&D records in Europe (72+R&D projects, mostly EC funded).
The Department of Informatics at AUTH is ranked 1st among the Greek Universities and 106th internationally in the field of Mathematics & Computer Science for 2019 in the Leiden Ranking list, which mainly depends on the scientific impact and staff publications.
It is also ranked 1st among the Greek Universities in the international ranking list Guide2Research, for 2021, having 5 faculty members in the list of top scientists in the scientific area of Computer Science and Electronics.
Aristotle University of Thessaloniki (AUTH), established in 1925, is among the most prestigious universities in Greece. Its computer science discipline is ranked #335 in the world in the US News University Ranking 2021.
Prof. Ioannis Pitas (34100+ citations, h-index 87) is an IEEE Fellow, EURASIP fellow and a world-renowned professor in multimedia systems and computer vision.
Homepage: https://aiia.csd.auth.gr/computer-vision-machine-learning/#people
https://scholar.google.gr/citations?user=lWmGADwAAAAJ&hl=en
About Henan University and KaiFeng, China
Henan University has a history of 109 years, and has been selected as the ''Double First Class'' University by the Ministry of Education of China, see https://en.henu.edu.cn/.
KaiFeng is a historical city (capital of Song Dynasty) and a famous tourist destination, see
https://en.wikipedia.org/wiki/Kaifeng.
How to apply
Applications are only accepted via Email.
All the following documents should be sent to Prof. Ioannis Pitas and Prof. Chongsheng Zhang simultaneously, at [email protected] and [email protected], with the email subject ''Postdoc application'':
Position Description
Three postdoctoral positions are immediately available at the Data Science and Artificial Intelligence Team/Lab, Henan University; the postdoc fellows will be co-supervised by Prof. Ioannis Pitas from Aristotle University of Thessaloniki, Greece.
The postdoc fellows can stay 4-5 months with Prof. Ioannis Pitas at Aristotle University of Thessaloniki, Greece; but they should stay in China for at least 7-8 months per year.
Position Location
The postdocs will be paid by Henan University, China. They will stay in Aristotle University of Thessaloniki (4-5 months), Thessaloniki, Greece, and Henan University (7-8 months), Kaifeng, China
Subject Areas
Deep learning and Computer Vision, including but not limited to Object Detection/Recognition, Region Segmentation and related topics.
Salary
1800~2200 EUR net per month.
Application Deadline
December 31st, 2022
Duration of the contract
The duration of the contract is 24~36 months, and can be extended up to 48 months.
Salary
a) The monthly net income of the Postdoctoral researcher is around 1800~2200 EUR (after taxes being deducted), paid by Henan University.
b) Additionally, the University will provide a total amount of 100,000 RMB as the candidate's research funding, which can be used for research purposes such as conferences, traveling, meetings, etc. Note: This research funding is once for all, not per year.
Note: The Living expenses in Kaifeng is relatively low. For instance,
Accommodation cost (two bedrooms, one living room) in Kaifeng is about 150~200 EUR per month. Food cost in KaiFeng is about 100-150 EUR per month.
Requirements/Qualifications
1. The successful candidates should hold a PhD degree in machine learning, or computer vision/pattern recognition, or other related fields.
2. At the time of appointment, the applicants must be no more than 35 years old in age.
3. The applicants should have good publication records in the above-mentioned fields.
About Aristotle University of Thessaloniki, Greece
Artificial Intelligence and Information Analysis Lab (https://aiia.csd.auth.gr/) Aristotle at University of Thessaloniki (AUTH) has one the best R&D records in Europe (72+R&D projects, mostly EC funded).
The Department of Informatics at AUTH is ranked 1st among the Greek Universities and 106th internationally in the field of Mathematics & Computer Science for 2019 in the Leiden Ranking list, which mainly depends on the scientific impact and staff publications.
It is also ranked 1st among the Greek Universities in the international ranking list Guide2Research, for 2021, having 5 faculty members in the list of top scientists in the scientific area of Computer Science and Electronics.
Aristotle University of Thessaloniki (AUTH), established in 1925, is among the most prestigious universities in Greece. Its computer science discipline is ranked #335 in the world in the US News University Ranking 2021.
Prof. Ioannis Pitas (34100+ citations, h-index 87) is an IEEE Fellow, EURASIP fellow and a world-renowned professor in multimedia systems and computer vision.
Homepage: https://aiia.csd.auth.gr/computer-vision-machine-learning/#people
https://scholar.google.gr/citations?user=lWmGADwAAAAJ&hl=en
About Henan University and KaiFeng, China
Henan University has a history of 109 years, and has been selected as the ''Double First Class'' University by the Ministry of Education of China, see https://en.henu.edu.cn/.
KaiFeng is a historical city (capital of Song Dynasty) and a famous tourist destination, see
https://en.wikipedia.org/wiki/Kaifeng.
How to apply
Applications are only accepted via Email.
All the following documents should be sent to Prof. Ioannis Pitas and Prof. Chongsheng Zhang simultaneously, at [email protected] and [email protected], with the email subject ''Postdoc application'':
- 1. A cover letter
- 2. Full CV and list of publications
- 3. Two reference letters.
If you have any questions, do not hesitate to contact Prof. Ioannis Pitas and Prof. Chongsheng Zhang via Email.
✔️ @ApplyTime
- 2. Full CV and list of publications
- 3. Two reference letters.
If you have any questions, do not hesitate to contact Prof. Ioannis Pitas and Prof. Chongsheng Zhang via Email.
✔️ @ApplyTime
Multiple PhD and postdoctoral positions @ University of Stuttgart / CyberValley
The Machine Learning and Simulation Science (MLSim) research group is led by Mathias Niepert, a full professor (W3) at the University of Stuttgart (official start date: 1/1/2022). Homepage: https://matlog.net
The group will be part of the Cluster of Excellence for the Simulation Sciences (SimTech) and the department of Computer Science at the University of Stuttgart. Mathias is also a faculty member of the International Max Planck Research School for Intelligent Systems (IMPRS-IS) and his professorship will be part of the wider CyberValley ecosystem. The University of Stuttgart has also a unit in the ELLIS network.
The MLSim group is working on core machine learning research with a focus on graph neural networks and geometric deep learning, the synthesis of discrete (algorithmic) components and continuous learning systems, and the intersection of machine learning and the simulation sciences. If you are interested in our work (published regularly at ICML, NeurIPS, AAAI, EMNLP, IJCAI, ICLR) please take a look at the publication section of this website and visit our video channel.
For more information about Mathias Niepert and the MLSim group, please visit the following website: https://matlog.net/phd-postdoc.html
The MLSim group has multiple PhD positions (100% TV-L E13) open:
If you have a Master's degree you can apply directly by sending an email with your CV and a research statement to jobs at simtech dot uni-stuttgart dot de, clearly indicating that you are applying to the group of Mathias Niepert. The Master's degree should be related to ML/AI topics or in physics/engineering/the simulation sciences. The research statement should outline some prior work and the kind of research you would be excited to conduct in the future. Please make sure that it relates your interests and goals to the publications and research topics (see above) of the group. Please note that PhDs in Germany are not considered students but are full-time employees of the university with social benefits (health, retirement, paid vacation days, etc.) and a full salary. The application deadline is January 15th 2022.
Feel free to reach out to me personally (mniepert at gmail dot com) if you have questions about the positions and/or life in Germany.
Postdoctoral position (100% TV-L E13/A13)
The MLSim group has a postdoc position available. Please apply directly by sending an email with your CV and a research statement to jobs at simtech dot uni-stuttgart dot de. Clearly indicate that you are applying to the group of Mathias Niepert. The research statement should outline prior work and the kind of research you would be excited to work on. Please make sure that the statement relates your interests and future goals to the publications and topics (see above) of the group. Postdoctoral researchers in Germany are full-time employees of the university with comprehensive social benefits (health, retirement, paid vacation days, etc.) and a full salary. The application deadline is January 15th 2022. Please feel free to reach out to me if you have any questions about the position and/or life in Germany.
✔️ @ApplyTime
The Machine Learning and Simulation Science (MLSim) research group is led by Mathias Niepert, a full professor (W3) at the University of Stuttgart (official start date: 1/1/2022). Homepage: https://matlog.net
The group will be part of the Cluster of Excellence for the Simulation Sciences (SimTech) and the department of Computer Science at the University of Stuttgart. Mathias is also a faculty member of the International Max Planck Research School for Intelligent Systems (IMPRS-IS) and his professorship will be part of the wider CyberValley ecosystem. The University of Stuttgart has also a unit in the ELLIS network.
The MLSim group is working on core machine learning research with a focus on graph neural networks and geometric deep learning, the synthesis of discrete (algorithmic) components and continuous learning systems, and the intersection of machine learning and the simulation sciences. If you are interested in our work (published regularly at ICML, NeurIPS, AAAI, EMNLP, IJCAI, ICLR) please take a look at the publication section of this website and visit our video channel.
For more information about Mathias Niepert and the MLSim group, please visit the following website: https://matlog.net/phd-postdoc.html
The MLSim group has multiple PhD positions (100% TV-L E13) open:
If you have a Master's degree you can apply directly by sending an email with your CV and a research statement to jobs at simtech dot uni-stuttgart dot de, clearly indicating that you are applying to the group of Mathias Niepert. The Master's degree should be related to ML/AI topics or in physics/engineering/the simulation sciences. The research statement should outline some prior work and the kind of research you would be excited to conduct in the future. Please make sure that it relates your interests and goals to the publications and research topics (see above) of the group. Please note that PhDs in Germany are not considered students but are full-time employees of the university with social benefits (health, retirement, paid vacation days, etc.) and a full salary. The application deadline is January 15th 2022.
Feel free to reach out to me personally (mniepert at gmail dot com) if you have questions about the positions and/or life in Germany.
Postdoctoral position (100% TV-L E13/A13)
The MLSim group has a postdoc position available. Please apply directly by sending an email with your CV and a research statement to jobs at simtech dot uni-stuttgart dot de. Clearly indicate that you are applying to the group of Mathias Niepert. The research statement should outline prior work and the kind of research you would be excited to work on. Please make sure that the statement relates your interests and future goals to the publications and topics (see above) of the group. Postdoctoral researchers in Germany are full-time employees of the university with comprehensive social benefits (health, retirement, paid vacation days, etc.) and a full salary. The application deadline is January 15th 2022. Please feel free to reach out to me if you have any questions about the position and/or life in Germany.
✔️ @ApplyTime
Postdoctoral Researcher position at Microsoft Research New York City in FATE
Dear colleagues –
The Fairness, Accountability, Transparency, and Ethics (FATE) research group at Microsoft Research New York City (MSR NYC) is looking for a Postdoctoral Researcher to start July 2022 (deadline December 15 for full consideration). This two-year position is an ideal opportunity for an emerging scholar whose work focuses on the societal implications of AI and machine learning.
Job Posting: https://careers.microsoft.com/us/en/job/1200448/Post-Doc-Researcher-FATE-Microsoft-Research
FATE Group: https://www.microsoft.com/en-us/research/group/fate/
The Postdoctoral Researcher will have the opportunity to pursue
their own research agenda while interacting with prominent researchers and
practitioners. The FATE research group at MSR NYC currently includes Solon
Barocas, Alexandra Chouldechova, Kate Crawford, Hal Daumé, Miro Dudík, Hanna
Wallach, and Jennifer Wortman Vaughan, and has close collaborations with
researchers at MSR FATE Montréal (Nicolas Le Roux, Q. Vera Liao, Alexandra
Olteanu, and Koustuv Saha) as well as other parts of Microsoft. The Postdoc
will also receive a competitive salary and benefits package and are eligible
for relocation expenses.
We are also hiring a postdoc whose work bridges machine learning
any any of our other focus areas (including FATE), which you may also be
interested in: https://careers.microsoft.com/us/en/job/1196274/Post-Doc-Researcher-Machine-Learning-Interdisciplinary-Microsoft-Research. And we're also looking for
interns: https://careers.microsoft.com/us/en/job/1191774/Research-Intern-Fairness-Accountability-Transparency-and-Ethics
Microsoft Research offers an exhilarating and supportive
environment for cutting-edge, multidisciplinary research, both theoretical and
applied, with access to an extraordinary diversity of data sources, an open
publications policy, and close links to top academic institutions around the
world.
We seek applicants with a demonstrated interest in FATE-related
topics and a desire to work in a highly interdisciplinary environment that
includes researchers from computer science, statistics, social sciences,
humanities, and other fields. Applicants should have a well-established
research track record, evidenced by notable journal or conference publications
and broader contributions to the research community.
We welcome candidates with a background in a technical field (such
as machine learning, AI, statistics, NLP, computer vision, and related fields)
as well as candidates with a socio-technical orientation (such as those in HCI,
information science, sociology, anthropology, science and technology studies,
media studies, law, history of science, and related fields).
Applicants must have completed their PhD, including submission of
their dissertation, prior to joining MSR NYC (i.e., dissertation submitted, and
degree preferably conferred by July 2022). We encourage candidates with
tenure-track job offers from other institutions to apply, provided they are
able to defer their start date by at least one year to accept our position.
We are committed to building an inclusive, diverse, and
pluralistic research environment and strongly encourage applications from
women, minorities, individuals with disabilities, veterans, as well as students
with non-traditional backgrounds. We work collectively to make Microsoft
Research a welcoming and conducive space for all researchers.
To be assured of full consideration, all application materials,
including reference letters, need to be received by December 15, 2021.
Applications received after that date may or may not be considered.
Please feel free to contact Hal Daumé [email protected]
or Kate Crawford [email protected] (or
any other member of the group) if you have any questions.
✔️ @ApplyTime
Dear colleagues –
The Fairness, Accountability, Transparency, and Ethics (FATE) research group at Microsoft Research New York City (MSR NYC) is looking for a Postdoctoral Researcher to start July 2022 (deadline December 15 for full consideration). This two-year position is an ideal opportunity for an emerging scholar whose work focuses on the societal implications of AI and machine learning.
Job Posting: https://careers.microsoft.com/us/en/job/1200448/Post-Doc-Researcher-FATE-Microsoft-Research
FATE Group: https://www.microsoft.com/en-us/research/group/fate/
The Postdoctoral Researcher will have the opportunity to pursue
their own research agenda while interacting with prominent researchers and
practitioners. The FATE research group at MSR NYC currently includes Solon
Barocas, Alexandra Chouldechova, Kate Crawford, Hal Daumé, Miro Dudík, Hanna
Wallach, and Jennifer Wortman Vaughan, and has close collaborations with
researchers at MSR FATE Montréal (Nicolas Le Roux, Q. Vera Liao, Alexandra
Olteanu, and Koustuv Saha) as well as other parts of Microsoft. The Postdoc
will also receive a competitive salary and benefits package and are eligible
for relocation expenses.
We are also hiring a postdoc whose work bridges machine learning
any any of our other focus areas (including FATE), which you may also be
interested in: https://careers.microsoft.com/us/en/job/1196274/Post-Doc-Researcher-Machine-Learning-Interdisciplinary-Microsoft-Research. And we're also looking for
interns: https://careers.microsoft.com/us/en/job/1191774/Research-Intern-Fairness-Accountability-Transparency-and-Ethics
Microsoft Research offers an exhilarating and supportive
environment for cutting-edge, multidisciplinary research, both theoretical and
applied, with access to an extraordinary diversity of data sources, an open
publications policy, and close links to top academic institutions around the
world.
We seek applicants with a demonstrated interest in FATE-related
topics and a desire to work in a highly interdisciplinary environment that
includes researchers from computer science, statistics, social sciences,
humanities, and other fields. Applicants should have a well-established
research track record, evidenced by notable journal or conference publications
and broader contributions to the research community.
We welcome candidates with a background in a technical field (such
as machine learning, AI, statistics, NLP, computer vision, and related fields)
as well as candidates with a socio-technical orientation (such as those in HCI,
information science, sociology, anthropology, science and technology studies,
media studies, law, history of science, and related fields).
Applicants must have completed their PhD, including submission of
their dissertation, prior to joining MSR NYC (i.e., dissertation submitted, and
degree preferably conferred by July 2022). We encourage candidates with
tenure-track job offers from other institutions to apply, provided they are
able to defer their start date by at least one year to accept our position.
We are committed to building an inclusive, diverse, and
pluralistic research environment and strongly encourage applications from
women, minorities, individuals with disabilities, veterans, as well as students
with non-traditional backgrounds. We work collectively to make Microsoft
Research a welcoming and conducive space for all researchers.
To be assured of full consideration, all application materials,
including reference letters, need to be received by December 15, 2021.
Applications received after that date may or may not be considered.
Please feel free to contact Hal Daumé [email protected]
or Kate Crawford [email protected] (or
any other member of the group) if you have any questions.
✔️ @ApplyTime
Microsoft
Post Doc Researcher – FATE – Microsoft Research in New York, New York, United States | Research at Microsoft
Apply for Post Doc Researcher – FATE – Microsoft Research job with Microsoft in New York, New York, United States. Research at Microsoft
3 PhD and 3 PostDoc positions in Geometry, Probability and Deep Learning at NTU Singapore
Expressions of interest are invited for 3 doctoral and 3 postdoctoral positions in Geometry, Probability, and Deep Learning at the Department of Mathematics, Nanyang Technological University (NTU) Singapore. The ideal candidates will have an excellent research background in at least one of these fields, including particularly in infinite-dimensional Riemannian or metric geometry, infinite-dimensional probability or stochastic analysis, statistical learning theory, coding theory, inverse problems, or harmonic analysis.
The positions are part of the project "Geometry, Probability, and Deep Learning" funded by Singapore's National Research Foundation. The goal of this project is to use geometric and probabilistic methods for analyzing the effectiveness of deep learning, to use deep learning methods for improving algorithms in probability and geometry, to advance the mathematical foundations of these methods, and to develop applications in e.g. mathematical finance or biomedical shape analysis. The postdoctoral positions are for 2 years with optional prolongation to 3 years, and the doctoral positions for 2-5 years. All positions come with an attractive salary package. The expected starting date is mid 2022.
If you are interested, please send your CV, list of publications, and research statement (1-2 pages) in a single PDF to Philipp Harms <[email protected]> as soon as possible. The search will continue until the positions are filled.
✔️ @ApplyTime
Expressions of interest are invited for 3 doctoral and 3 postdoctoral positions in Geometry, Probability, and Deep Learning at the Department of Mathematics, Nanyang Technological University (NTU) Singapore. The ideal candidates will have an excellent research background in at least one of these fields, including particularly in infinite-dimensional Riemannian or metric geometry, infinite-dimensional probability or stochastic analysis, statistical learning theory, coding theory, inverse problems, or harmonic analysis.
The positions are part of the project "Geometry, Probability, and Deep Learning" funded by Singapore's National Research Foundation. The goal of this project is to use geometric and probabilistic methods for analyzing the effectiveness of deep learning, to use deep learning methods for improving algorithms in probability and geometry, to advance the mathematical foundations of these methods, and to develop applications in e.g. mathematical finance or biomedical shape analysis. The postdoctoral positions are for 2 years with optional prolongation to 3 years, and the doctoral positions for 2-5 years. All positions come with an attractive salary package. The expected starting date is mid 2022.
If you are interested, please send your CV, list of publications, and research statement (1-2 pages) in a single PDF to Philipp Harms <[email protected]> as soon as possible. The search will continue until the positions are filled.
✔️ @ApplyTime
PhD position in computational biology, Aalto University, Finland
Hi,
We have an open PhD position in computational biology at the department of Computer Science, Aalto University, Finland. See
https://www.jobs.ac.uk/job/CLI570/phd-position-in-computer-science
The PhD project is to develop computational methods to study multimodality and dynamics in single cell data. The Phd advisors are Dr Lu Cheng (https://scholar.google.fi/citations?user=Zy14QK0AAAAJ&hl=en) and Prof. Aki Vehtari (https://users.aalto.fi/~ave/).
The salary is 2300-3000 eur/month.
The position starts from January 1, 2022 or later.
Lu Cheng
Academy Research Fellow
Department of Computer Science
Aalto University, Finland
✔️ @ApplyTime
Hi,
We have an open PhD position in computational biology at the department of Computer Science, Aalto University, Finland. See
https://www.jobs.ac.uk/job/CLI570/phd-position-in-computer-science
The PhD project is to develop computational methods to study multimodality and dynamics in single cell data. The Phd advisors are Dr Lu Cheng (https://scholar.google.fi/citations?user=Zy14QK0AAAAJ&hl=en) and Prof. Aki Vehtari (https://users.aalto.fi/~ave/).
The salary is 2300-3000 eur/month.
The position starts from January 1, 2022 or later.
Lu Cheng
Academy Research Fellow
Department of Computer Science
Aalto University, Finland
✔️ @ApplyTime
www.jobs.ac.uk
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