🎓 PhD position in Development of vibrational technique for solicitation, measurement and interpretation to characterize the interactions between components of a complex structure in an extreme environment: Evaluation of their application to measurement in t, Aix-Marseille Université, #France
📚 Fields: #InstrumentationEngineering #MechanicalEngineering #Mechanics #FluidDynamics #NuclearPhysics #FluidMechanics
⏳ Deadline: 2022-06-30
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📚 Fields: #InstrumentationEngineering #MechanicalEngineering #Mechanics #FluidDynamics #NuclearPhysics #FluidMechanics
⏳ Deadline: 2022-06-30
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🎓 Faculty Positions in Mechanical Engineering 2021/22, King Abdullah University of Science and Technology (KAUST), #SaudiArabia
📚 Fields: #MaterialsEngineering #Mechatronics #Robotics #MechanicalEngineering #FluidDynamics
⏳ Deadline: 2022-06-30
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📚 Fields: #MaterialsEngineering #Mechatronics #Robotics #MechanicalEngineering #FluidDynamics
⏳ Deadline: 2022-06-30
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🎓 PhD Student - Department of Information Technology, Ghent University, #Belgium
📚 Fields: #Algorithms #ComputerCommunicationsNetworks #CommunicationEngineering #TelecommunicationsEngineering #ElectricalEngineering #SignalProcessing #Electronics
⏳ Deadline: 2022-07-01
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📚 Fields: #Algorithms #ComputerCommunicationsNetworks #CommunicationEngineering #TelecommunicationsEngineering #ElectricalEngineering #SignalProcessing #Electronics
⏳ Deadline: 2022-07-01
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🎓 Postdoc: Quantum Acoustics, AMOLF, #Netherlands
📚 Fields: #QuantumPhysics #Photonics
⏳ Deadline: 2022-07-28
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📚 Fields: #QuantumPhysics #Photonics
⏳ Deadline: 2022-07-28
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🎓 Upcoming PhD Calls at Cologne Graduate School of Ageing Research, Cologne Graduate School of Ageing Research (CGA), #Germany
📚 Fields: #Biotechnology #Bioinformatics #StructuralBiology #MolecularBiology #Microbiology #Genetics #CellBiology #HumanBiology #SystemsBiology #DevelopmentalBiology #BiomedicalEngineering #Biomedicine #Biochemistry #ChemicalBiology #Biophysics
⏳ Deadline: 2022-08-31
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📚 Fields: #Biotechnology #Bioinformatics #StructuralBiology #MolecularBiology #Microbiology #Genetics #CellBiology #HumanBiology #SystemsBiology #DevelopmentalBiology #BiomedicalEngineering #Biomedicine #Biochemistry #ChemicalBiology #Biophysics
⏳ Deadline: 2022-08-31
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Fully-funded PhD studentships in Robotics - University of Nottingham
Dear colleagues,
We have several fully funded PhD studentships at the University of Nottingham for outstanding graduates with strong interest in robotics, machine learning/perception, and human-robot interaction.
There are two different funding routes for applications, and the application process require the candidates to prepare a short research proposal, so if interested, please discuss with me prior to applying. Applications skipping this step will not be considered.
In order to initiate the discussion, please send an Expression of Interest to [email protected] in PDF format, clearly mentioning the reference to the position in the subject (SCI2041 or Horizon). The application document should include:
1) cover letter
2) your CV and relevant links (Github, website etc.)
3) your transcript
School of Computer Science PhD Scholarship (SCI2041):
Funding for: International, 3.5 years
Closing Date: 13 February 2022
Funding amount: Stipend of minimum £15,009 p.a. and tuition fees
Information: https://www.nottingham.ac.uk/jobs/currentvacancies/ref/SCI2041
Topic: Variable autonomy and explainable planning in human-robot interaction
Summary: Full automation in robotics is currently not possible in many application domains (e.g. healthcare and assisted mobility, extreme environments) due to the complexity and variety of tasks, and the unpredictable nature of the world and the human behaviours sharing the space. As a result, robots still require human help in human environments (e.g. think of your robot vacuum cleaner, which continuously needs your help while trying to complete the relatively easy cleaning task). In doing so, the robot needs to be employed with good mechanisms to switch in between autonomy levels, which are ideally defined on a continuous scale, as well as finding good ways to communicate its plans to nearby humans.
The aim of this PhD project is to 1) learn how to perform efficiently with/around humans through task and motion planning, 2) equip robots with multimodal communication tools to convey states and decisions, so that their operation is explainable, and 2) develop fluent arbitration mechanisms for adopting appropriate levels of autonomy through perception and decision making. Complex real-life application scenarios will be studied in this project, such as interacting with health personnel or patients in a hospital ward, or inspection in complex workplace environments.
Horizon CDT Scholarships (Horizon):
Funding for: International, 4 years
Funding amount: Enhanced stipend £17,600 p.a. and tuition fees
Closing date (International applicants): 15 December 2021
Closing date (UK applicants): 4 January 2022
Information: https://cdt.horizon.ac.uk/apply/how-to-apply/
Topic: The use of Artificial Intelligence and Robotics in Live Creative Installations
Summary: With robotics technologies becoming more affordable and accessible, there is a growing interest from creative industries to involve robotics in live installations. The Thingamabobas is an example of such an installation we developed in collaboration with the Makers of Imaginary Worlds (MOIW). However, there are many challenges, as well as opportunities, when working with robotic installation art. Especially, there is a strong need for research to enable technological capabilities to improve the entire audience experience through an artistic lens. This PhD project aims to build socially intelligent robotic installations by 1) developing artificial intelligence methods to create robotic installations, which are easy to configure by artists, 2) implementing adaptive robot behaviours that respond to changing audience states, such as engagement, boredom, attention, in order to enhance interaction through cognitive and user modelling, and 3) evaluating the developed techniques in real-world installations with real audiences.
Dear colleagues,
We have several fully funded PhD studentships at the University of Nottingham for outstanding graduates with strong interest in robotics, machine learning/perception, and human-robot interaction.
There are two different funding routes for applications, and the application process require the candidates to prepare a short research proposal, so if interested, please discuss with me prior to applying. Applications skipping this step will not be considered.
In order to initiate the discussion, please send an Expression of Interest to [email protected] in PDF format, clearly mentioning the reference to the position in the subject (SCI2041 or Horizon). The application document should include:
1) cover letter
2) your CV and relevant links (Github, website etc.)
3) your transcript
School of Computer Science PhD Scholarship (SCI2041):
Funding for: International, 3.5 years
Closing Date: 13 February 2022
Funding amount: Stipend of minimum £15,009 p.a. and tuition fees
Information: https://www.nottingham.ac.uk/jobs/currentvacancies/ref/SCI2041
Topic: Variable autonomy and explainable planning in human-robot interaction
Summary: Full automation in robotics is currently not possible in many application domains (e.g. healthcare and assisted mobility, extreme environments) due to the complexity and variety of tasks, and the unpredictable nature of the world and the human behaviours sharing the space. As a result, robots still require human help in human environments (e.g. think of your robot vacuum cleaner, which continuously needs your help while trying to complete the relatively easy cleaning task). In doing so, the robot needs to be employed with good mechanisms to switch in between autonomy levels, which are ideally defined on a continuous scale, as well as finding good ways to communicate its plans to nearby humans.
The aim of this PhD project is to 1) learn how to perform efficiently with/around humans through task and motion planning, 2) equip robots with multimodal communication tools to convey states and decisions, so that their operation is explainable, and 2) develop fluent arbitration mechanisms for adopting appropriate levels of autonomy through perception and decision making. Complex real-life application scenarios will be studied in this project, such as interacting with health personnel or patients in a hospital ward, or inspection in complex workplace environments.
Horizon CDT Scholarships (Horizon):
Funding for: International, 4 years
Funding amount: Enhanced stipend £17,600 p.a. and tuition fees
Closing date (International applicants): 15 December 2021
Closing date (UK applicants): 4 January 2022
Information: https://cdt.horizon.ac.uk/apply/how-to-apply/
Topic: The use of Artificial Intelligence and Robotics in Live Creative Installations
Summary: With robotics technologies becoming more affordable and accessible, there is a growing interest from creative industries to involve robotics in live installations. The Thingamabobas is an example of such an installation we developed in collaboration with the Makers of Imaginary Worlds (MOIW). However, there are many challenges, as well as opportunities, when working with robotic installation art. Especially, there is a strong need for research to enable technological capabilities to improve the entire audience experience through an artistic lens. This PhD project aims to build socially intelligent robotic installations by 1) developing artificial intelligence methods to create robotic installations, which are easy to configure by artists, 2) implementing adaptive robot behaviours that respond to changing audience states, such as engagement, boredom, attention, in order to enhance interaction through cognitive and user modelling, and 3) evaluating the developed techniques in real-world installations with real audiences.
----
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
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
Forwarded from Apply Time
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
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
Google
Pan Liu, Ph.D.
Dr. Pan Liu is an Assistant Professor of Psychology at North Dakota State University (NDSU) and the director of the Emotion, Neuroscience, and Development Lab (The E.N.D. Lab). Trained as a developmental cognitive neuroscientist and developmental psychopathologist…
Forwarded from Apply Time
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
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
https://www.compute.dtu.dk
PhD scholarship in Representation Learning
Forwarded from Apply Time
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].
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].
wvu.taleo.net
Postdoctoral Fellow - Lane Department of Computer Science and Electrical Engineering, Statler College
Click the link provided to see the complete job description.
Forwarded from Apply Time
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
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
wvu.taleo.net
Postdoctoral Fellow - Lane Department of Computer Science and Electrical Engineering, Statler College
Click the link provided to see the complete job description.
Forwarded from Apply Time
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'':
Forwarded from Apply Time
- 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
Forwarded from Apply Time
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]
✔️ @ApplyTime
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]
✔️ @ApplyTime
Forwarded from Apply Time
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
✔️ @ApplyTime
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
✔️ @ApplyTime
Forwarded from Apply Time
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
✔️ @ApplyTime
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
✔️ @ApplyTime
Inria
Ingénieur·e en traitement de données et vision par ordinateur
Offre d'emploi Inria
Forwarded from Apply Time
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
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
✔️ @ApplyTime
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
✔️ @ApplyTime
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
✔️ @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 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
✔️ @ApplyTime
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