----
Requirements:
A first-class or upper second-class BSc or MSc degree (or equivalent) in Computer Science, Engineering or a related subject (essential). Individuals with significant relevant non-academic experience are encouraged to apply.
Excellent programming skills in C++ and/or Python
Experience in robot programming and relevant tools (e.g. ROS, Gazebo, PyBullet)
Understanding of motion planning and control
Machine learning
Experience in conducting user studies
Commitment to applying your research to real robotic systems interacting with real humans in challenging environments
Selected candidates will take advantage of extensive training and career development opportunities and will benefit from excellent support to produce and disseminate original research contributions at leading international venues. The role also offers the opportunity to engage in international collaborations, as well as working within an ambitious and diverse team of robotics and AI researchers at a top UK university. The candidate will have access to state-of-the-art equipment, software, and research facilities in the Cobot Maker Space, including research space and several robots (including Franka Emika, Haption Virtuose, UR3, Geomagic TouchX, Turtlebots, LoCoBot, Ohmni/Double telepresence robots, robotic wheelchair), computer vision equipment, physiological sensors, as well as dedicated data storage and competitive computational facilities suitable for doing world-leading research in machine learning.



----------------------------------------------
Dr Ayse Kucukyilmaz
Assistant Professor of Robotics
School of Computer Science
University of Nottingham


This message and any attachment are intended solely for the addressee
and may contain confidential information. If you have received this
message in error, please contact the sender and delete the email and
attachment.

Any views or opinions expressed by the author of this email do not
necessarily reflect the views of the University of Nottingham. Email
communications with the University of Nottingham may be monitored
where permitted by law.
✔️ @ApplyTime

Funded PhD position in Developmental Psychology/Psychopathology at North Dakota State University

Dear colleagues,



(apologies for cross-posting)



I am looking to recruit a PhD student for Fall 2022. Please share the information below with anyone that may be interested. Thank you!





The Emotion, Neuroscience, and Development Lab (PI: Dr. Pan Liu) in the Department of Psychology at North Dakota State University (NDSU) is looking to recruit a PhD student for Fall 2022. Our Lab takes an interdisciplinary, multi-method approach to understanding the neurocognitive mechanisms associated with socio-emotional processing and development in children and adolescents. A current emphasis in the lab is to study how cognitive vulnerabilities, via interaction with other individual and environmental factors, predict the development of internalizing psychopathology (anxiety and depression) in youth. We use behavioral, EEG/ERP, and eye-tracking measures to tackle these questions.



The Psychology PhD program at NDSU offers a full tuition waiver and a stipend through teaching assistantship. The student will have full access to the resources at the Center for Visual and Cognitive Neuroscience at NDSU, including a variety of equipment (EEG, eye-tracking, fNIRS, TMS), data storage/analysis infrastructure, dedicated technical support and technical training (programming, data analysis, etc.). They will also have plenty of opportunities to interact and collaborate with other areas in Psychology (Visual/Cognitive Neuroscience, Social/Health Psychology) as well as other departments at NDSU (e.g., Human Development and Family Science).



The application deadline is January15, 2022. GRE is not required for this round of application. The application fee at NDSU is as low as $35 (exempted for McNair Scholars). NDSU is a land-grant public research university located in Fargo, a friendly and low-cost-of-living city. More information about the program and the application procedure can be found here. Please contact Dr. Liu ([email protected]) first if interested in applying.



​--

Pan Liu, PhD
Assistant Professor

Department of Psychology

North Dakota State University

701-231-5676

134D8 Minard Hall, 1210 Albrecht Blvd, Fargo ND 58102



Adjunct Research Professor

Department of Psychology

Western University

https://sites.google.com/view/panliu

✔️ @ApplyTime

PhD position at DTU, Copenhagen

Hi all,

We have an open PhD position in basic machine learning at the Center for Basic Machine Learning Research in Life Science (mlls.dk) in Copenhagen. Emphasis is on representation learning for protein sequences.

https://www.compute.dtu.dk/om_os/ledige_stillinger/job?id=35b0a858-1b8d-4bac-9799-5018eec1546f

== Who are you? ==
Curiosity, motivation, and an easy going personality. Those are key characteristics that we look for in a candidate. The projects we work on take inspiration from many diverse communities, so you will most likely only be familiar with some aspects of the projects before you start. Consequently, there is no "right" educational background, though we expect experience in a machine learning related field. Remember, if you're a great candidate, then we will adapt the project to fit you.

== Who are we? ==
The Center for Basic Machine Learning Research in Life Science (mlls.dk) is headed by Ole Winter, Anders Krogh, Aasa Feragen, Wouter Boomsma, Jes Frellsen and Søren Hauberg. We conduct the basic machine learning research needed to estimate representations of biomedical data that are robust, interpretable, data efficient, reflective of inherent data uncertainty, and able to leverage existing knowledge.

== Where? ==
You'll be working in the intersection of the University of Copenhagen and the Technical University of Denmark. Both salary and working conditions are excellent. The center is a down-to-earth and fun place to be. Most group members live in Copenhagen which is often named as the best city in the world to live, and for good reasons. Copenhagen is really nice! It's world renowned for food, beer, art, music, architecture, the Scandinavian "hygge", and much more. Parental leave is generous and child-care is excellent and cheap.

Cheers
Søren
✔️ @ApplyTime

Multiple Post-Doctoral Fellowships - Computer Vision in Digital Health
https://wvu.taleo.net/careersection/faculty/jobdetail.ftl?job=18208&tz=GMT-04%3A00&tzname=America%2FNew_York



Postdoctoral Fellow - Lane Department of Computer Science and Electrical Engineering, Statler College- 18208 – West Virginia University - (Multiple Positions)



Description



The Lane Department of Computer Science and Electrical Engineering of the Benjamin M. Statler College of Engineering and Mineral Resources at West Virginia University invites applications for multiple Postdoctoral Fellow positions to work with researchers at the West Virginia-Arkansas Center for Research and Education in Smart Health (WVAR-CRESH). WVAR-CRESH is a key part of a recent large NSF funding to enhance collaboration between researchers in West Virginia and Arkansas on problems in healthcare. The long-term goal of the collaboration is to improve health and well-being by accelerating decision making for smart health applications, through the development and application of advanced artificial intelligence (AI) techniques, exploiting the available massive heterogeneous biomedical datasets. Activities under this collaboration will lead to improved workforce development in leading-edge technology areas of data science, AI, and smart health. For more information about WVAR-CRESH, please visit https://community.wvu.edu/~daadjeroh/projects/cresh/.



We are searching for candidates with a strong background in computer vision, deep learning, applied mathematics, and biomedical image analysis, especially ultrasound images. The center is focused on developing new algorithms and techniques that use advances in AI and machine learning to analyze different types of biomedical data. Emphasis is on cardiovascular health (especially on the analysis of cardiac images, such as echocardiographs, MRI, CT images, etc), health disinformation, and privacy preserving health data analytics.



The Postdoctoral Fellows will conduct research on one or more of the topics above. Together with the project team members, the Postdoctoral Fellows will have the opportunity to determine the specific direction of their research project within the scope of the collaborative projects in the center, depending on their interests.



Qualifications



The successful candidate must have a PhD in computer science, electrical engineering, computer engineering, biomedical engineering, applied mathematics, physics or a related field. Familiarity with machine learning/deep learning/data analytics is a requirement and proficiency in scientific computing using one or more of the major programming languages/environments (python, PyTorch, Matlab, C/C++, or R) is essential.



West Virginia University is the State’s comprehensive Land Grant University with an enrollment of about 29,000 students and a R1 Carnegie Classification. Morgantown and its vicinity have a diverse population of about 62,000 residents and are ranked highly among the most livable small cities in the country. The community lies within a high technology corridor that also includes several federal research facilities, as well as industries active in shale gas operations. The city is readily accessible and within driving distance from Pittsburgh, PA and Washington, DC. For more information on WVU and Morgantown, see https://www.wvu.edu and https://www.morgantownwv.gov. The Lane Department of Computer Science and Electrical Engineering has 30 faculty members and approximately 500 undergraduate and 160 graduate students.



To apply for this position, visit www.jobs.wvu.edu. Applicants must submit a cover letter, curriculum vitae, and contact information for two professional references. Only applicants who submit complete documentation will be considered in the review process. For further questions or additional information, please contact Dr. Don Adjeroh via email [email protected] or Dr. Gianfranco Doretto via email [email protected].

West Virginia University is an Equal Opportunity/Affirmative Action Employer and the recipient of an NSF ADVANCE award for gender equity. The University values diversity among its faculty, staff and students, and invites applications from all qualified individuals, including minorities, females, individuals with disabilities, and veterans.



Interested in applying? Please follow this link



https://wvu.taleo.net/careersection/faculty/jobdetail.ftl?job=18208&tz=GMT-04%3A00&tzname=America%2FNew_York



Questions? Please contact any of the following



Don Adjeroh, PhD
Lane Dept. Computer Science & Electrical Engineering
West Virginia University
Morgantown, WV 26506
[email protected]

https://community.wvu.edu/~daadjeroh/



Gianfranco Doretto, PhD
Lane Dept. Computer Science & Electrical Engineering
West Virginia University
Morgantown, WV 26506
[email protected]

https://vision.csee.wvu.edu

https://vision.csee.wvu.edu/~doretto/

✔️ @ApplyTime

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'':

- 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

MSc and PhD Studentships
The Department of Social Statistics and Demography(SSD) at the University of Southampton is looking for graduates interested in studying for MSc and/or PhD in social statistics, demography, quantitative social science and global health. They invite you to learn more about their MSc taught courses in Demography, Global Health, Social Research Methods with Applied Statistics, Applied Statistics and Data Analytics for Government, and their Social Statistics and Demography PhD programme.



Postgraduate funding opportunities
They understand that securing funding for postgraduate education and training is increasingly competitive. Their department wants to provide support to candidates who share their disciplinary interests in preparing funding applications. They highlight some upcoming UK and international scholarship opportunities and encourage you to contact them about these schemes or to discuss other possible funding sources.



The South Coast Doctoral Training Partnership (SCDTP) MSc/PhD and PhD scholarships
The SCDTP will be awarding a minimum of 38 studentships per year to social scientists carrying out PhD studies or Masters + PhD studies at the University of Southampton or one of the other two partner institutions. They are pleased to highlight the steer of some of these awards towards advanced training in Advanced Quantitative Methods (AQM), Data Sets/Skills, and interdisciplinary research. The deadline for Academic Year 2022/23 applications is midnight 24th January 2022.

For more information about these scholarship opportunities, please visit the SCDTP website https://southcoastdtp.ac.uk/To enquire about how SSD might be able to support your application, please email the SSD Director of Postgraduate Research -Professor Vicky Hosegood [email protected] contact a member of their academic staff whose research interests align with yours.



Wellcome Trust and Commonwealth scholarships for the MSc Global Health
Their department will be awarding three WellcomeTrust MSc scholarships for students starting the MSc Global Health in 2022/23 (two of which are specifically for students from low-and middle-income countries). There is also an opportunity for students wishing to take this programme to apply for a Commonwealth Shared Scholarship. To find out more about the MSc Global Health please visit their website www.soton.ac.uk/globalhealthand the MSc Global Health programme director –Dr Sarah Neal [email protected]



Commonwealth Shared Scholarship for the MSc in Demographyor MSc in Global Health or MSc in Gerontology
One Commonwealth Shared Scholarship will be available for study on one of three programmes in the Faculty of Social Sciences-MSc in Demography, MSc in Global Health or MSc in Gerontology. More information about theCommonwealth Scheme and application process are available here. The deadline for the applications is at 4pm 20th December 2021. They are happy to speak to people interested in applying for the Commonwealth scholarship or finding out more about the taught courses that They offer with the Social Statistics and Demography department. Please contact the MSc Demography programme director –Dr Olga Maslovskaya [email protected]
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A Postdoc position is open at University of Strasbourg (ICube lab) - France


Deep Learning, Domain Adaptation, Multi-Modal Representations

The position will be funded for two years (initially for one year, renewable for an additional year). The candidate will join the SDC research team under the supervision of Dr Thomas Lampert, the Chair of Data Science and Artificial Intelligence, and join his international team of PhD students and engineer to develop novel deep learning approaches to domain invariant representation learning (particularly in multi-modal data), with application (but not restricted) to Medical Imaging and Remote Sensing. The funding is not connected to a particular project, so it is the perfect opportunity for a strong candidate to explore new directions under the supervision of the Chair.


The successful candidate will have (or will soon obtain) a PhD in computer science or related domain and have experience in deep learning and applied machine learning and a strong level of written and spoken English. Experience with transformers, GANs, autoencoders, and/or unsupervised/self-supervised DL (autoencoders, etc) would be a plus. You will join a growing team and will have the freedom to follow your interests in a direction complementary to the abovementioned research focusses. You will be expected to target leading outlets in the field of machine learning and a strong track record in CVPR/ICCV/ECCV, NIPS/ICML/ICLR, or PAMI/IJCV/TIP. Candidates who are able to carry out the highest quality research independently, to co-supervise PhD students, and to give their input on a number of projects being carried out in the team are pursued. You will have access to state-of-the-art hardware for deep learning.


Send a letter of motivation, your CV, and an example publication to Thomas Lamper and Gisèle Burgart ([email protected] and [email protected] - !remove the numbers!) with the subject beginning with [Chaire Postdoc].



The position will remain open until a suitable candidate is found and the starting date will be agreed upon with the successful candidate (but can start ASAP).



Detailed Description: https://seafile.unistra.fr/f/5931f91dcffb401db566/?dl=1
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Openings in Université Côte d'Azur (Inria/CNRS I3S) on multimedia processing, immersive systems, and ML
We are currently seeking motivated candidates for multiple job openings in the Inria and CNRS I3S laboratories of Université Côte d'Azur on various topics in multimedia analysis and processing, immersive systems, and user motion modeling. Please consult the following links for detailed post descriptions and application information:

== Engineer positions ==
- Engineer in computer vision and data processing (https://recrutement.inria.fr/public/classic/en/offres/2021-04120)
- Engineer in immersive multimedia systems (https://www.i3s.univ-cotedazur.fr/~sassatelli/files/Engineer_position_UCA_AI4Media.pdf)

== PhD position ==
- PhD thesis in multimedia analysis (https://www.i3s.univ-cotedazur.fr/~sassatelli/files/PhDposition_IRIT-I3S_ANR_TRACTIVE.pdf)

== Master's internships ==
- Modeling 6 DoF human motion data in extended reality (https://www-sop.inria.fr/members/Hui-Yin.Wu/offers/stage_creattive3d_6dof_modeling.pdf)
- Image and text processing for multimodal film analysis (https://www-sop.inria.fr/members/Hui-Yin.Wu/offers/stage_tractive_data.pdf)

Best Regards,
Hui-Yin Wu

--
Hui-Yin Wu (Helen)
Research scientist - Inria Starting Faculty Position

Biovision Team @ Centre Inria d'Université Côte d'Azur
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UKRI Centre for Doctoral Training in Artificial Intelligence and Music (AIM), Queen Mary University of London
https://www.aim.qmul.ac.uk/

12+ fully-funded PhD studentships to start September 2022
Covers fees and a stipend for four years
Application deadline: 30 January 2022

Why apply to the AIM Programme?
4-year fully-funded PhD studentships available
Extensive choice of projects, drawing on a supervisory team of over 30 academics
Access to cutting-edge facilities and expertise in artificial intelligence (AI) and music/audio technology
Comprehensive technical training at the intersection of AI and music through a personalized programme
Partnerships with over 25 companies and cultural institutions in the music, audio and creative sectors
More information on the AIM Programme can be found at: https://www.aim.qmul.ac.uk/

Programme structure
Our Centre for Doctoral Training (CDT) offers a four year training programme where students will carry out a research project in the intersection of AI and music, supported by taught specialist modules, industrial placements, and skills training. Find out more about the programme structure at: https://www.aim.qmul.ac.uk/about/

Who can apply?
We are on the lookout for outstanding students interested in the intersection of music/audio technology and AI. Successful applicants will have the following profile:
Hold or be completing a Masters degree at distinction or first class level, or equivalent, in Computer Science, Electronic Engineering, Music/Audio Technology, Physics, Mathematics, Music or Psychology. In exceptional circumstances we accept applicants with a first class Bachelors degree who do not hold a Masters degree, provided that applicants can provide evidence of equivalent research experience, industry experience, or specialist training.
Programming skills are strongly desirable; however we do not consider this to be an essential criterion if candidates have complementary strengths.
Musical training (any of performance, production, composition or theory) is desirable but not a prerequisite.
For this call we are inviting applications from UK Home students and International students, as well as students supported by national and international funding bodies, such as the China Scholarship Council (CSC), CONACYT, and the Commonwealth PhD Scholarship scheme. Queen Mary’s commitment to our diverse and inclusive community is embedded in our student admissions processes. We particularly welcome applications from women and under-represented groups, and from applicants in all stages of life.

Funding
For this call we offer 12+ fully-funded 4-year PhD studentships available for students starting in September 2022 which will cover the cost of tuition fees and will provide an annual tax-free stipend (£17,609 in 2021/22). The CDT will also provide funding for conference travel, equipment, and for attending other CDT-related events.

The AIM programme also welcomes applications from students who have sponsorship for PhD study from numerous international funding agencies and also accepts self-funded students. For more information on external PhD studentships and self-funded students please visit https://www.aim.qmul.ac.uk/apply .

Apply Now
Information on applications and PhD topics can be found at: https://www.aim.qmul.ac.uk/apply
Application deadline: 30 January 2022
For further information on eligibility, funding and the application process please visit our website. Please email any questions to [email protected]

--
Dr Emmanouil Benetos
Senior Lecturer | Queen Mary University of London
Turing Fellow | The Alan Turing Institute
T + 44 (0) 20 7882 6206
[email protected]
https://www.eecs.qmul.ac.uk/~emmanouilb/
✔️ @ApplyTime

Postdoc position in A*STAR Singapore, computer vision for privacy and memorability in egocentric images
Career - Agency for Science, Technology and Research (a-star.edu.sg)

Scientist, Social and Cognitive Computing, IHPC
Posting Date : 02 Sep 2021 | Closing Date :01 Sep 2022


JOB DESCRIPTION

The Social and Cognitive Computing (SCC) department of the Institute of High-Performance Computing (IHPC) is seeking an exceptional research scientist to expand our dynamic and multidisciplinary team. Our current team members have degrees in computer science, information systems, psychology, cognitive science and neuroscience from Berkeley, CMU, EFPL, KU Leuven, NTU, NUS, MIT, Stanford, SUTD, UIUC, etc. We work on some of the most crucial, incredibly hard, and future-oriented problems in AI, that lie at the cross-disciplinary convergence of cognitive science, psychology, behavioural sciences, artificial intelligence, computational modelling & simulation.

For this position, the successful candidate will be expected to:

· Develop image/video processing algorithms for detection and tracking of artefacts relevant to privacy and memorability in images - Eg. human face, objects, handwriting etc.

· Develop and evaluate several obfuscation strategies such as blurring, masking etc. and evaluate their effectiveness.

· Develop and evaluate methods for estimation of memorability of images using multimodal data (image, gaze, brain-image etc.). Design and conduct user-studies to gather data from people using wearable cameras. Conduct surveys regarding users' privacy preferences, memorability of images and analyse factors underlying memorability and privacy sensitivity.

· Build attention based, incremental and autonomous machine learning models that use a data stream of images to estimate memorability and sensitivity of images.

· Develop privacy aware systems (Eg. serious games) that can be used for memory augmentation and training.

· Develop prototypes to demonstrate the effectiveness and efficiency of algorithms in collaboration with research team members.

· Provide timely, accurate and detailed reports and presentations and demonstrations.



JOB REQUIREMENT

· PhD in Computer Science, Computer Engineering, Electrical Engineering or related fields

· Research experience in at least in one of the following areas: computer vision, signal processing, brain imaging, gaze analysis, pattern recognition, object detection, image analysis and deep learning. Track record of publication in highly rated journals and conferences in AI, computational neuroscience.

· Knowledge/experience in computational methods and technology used for dealing with memory augmentation, neuro-psychiatric conditions, cognitive disorders.

· Proficiency in neural networks, image processing, statistics.

· Experience in image memorability, incremental learning, autoML will be an advantage.

· Excellent programming skills in languages such as Python, R , Java, C++.

· Good problem solving skills, team player, good interpersonal, presentation and communication skills

· Awareness of good scientific practices

· Motivated and resourceful individual
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Ph.D. Position: Machi
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 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
ne Learning in Audio, TU Ilmenau, Germany
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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/
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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
---------------------------------------------------------------------------------------------------------------------------
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
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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.

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.
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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
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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/
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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.
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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]
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