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ISCApad Archive  »  2022  »  ISCApad #292  »  Jobs  »  (2022-08-24) PostDoc position at Grenoble Alps University, Grenoble, France

ISCApad #292

Wednesday, October 05, 2022 by Chris Wellekens

6-27 (2022-08-24) PostDoc position at Grenoble Alps University, Grenoble, France
PostDoc position at Grenoble Alps University, France

The Grenoble Alps University offers a PostDoc position for a highly motivated candidate to be working on the multi-disciplinary research project THERADIA, which aims to create an empathic virtual assistant that accompanies cognitively impaired patients during remediation exercises at home. The successful candidate will have the exciting opportunity to develop new machine learning techniques for the robust detection of affective and cognitive behaviours from newly collected audiovisual data. Models will be incorporated into the virtual agent to tailor the interaction with the patient, using specific interaction scenarios, and these models will be evaluated and fine-tuned in a clinical trial to demonstrate the effectiveness of the agent in supporting patients suffering from cognitive conditions during digital therapies. If successful, the system will be operated nationally and the cognitive remediation sessions will be covered by social security.

Duration: 2 years, 
Salary: according to experience (up to 4142€ / month)
Envisaged starting date: November 2022
Scientific environment
The person recruited will be hosted within the GETALP team of the Laboratoire d’Informatique de Grenoble (LIG), which offers a dynamic, international, and stimulating framework for conducting high-level multi-disciplinary research. The GETALP team is housed in a modern building (IMAG) located on a 175-hectare landscaped campus that was ranked as the eighth most beautiful campus in Europe by Times Higher Education magazine in 2018.
The ideal candidate must have a PhD degree and a strong background in machine learning, and affective computing or cognitive science/neuroscience.
The successful candidate should have:
·   Excellent knowledge of machine learning techniques
·   Good knowledge of speech and/or image processing
·   Good knowledge of experimental design and statistics
·   Strong programming skills in Python
·   Excellent publication record
·   Willing to work in multi-disciplinary and international teams
·   Good communication skills
Applications are expected to be received on an ongoing basis and the position will be open until filled. Applications should be sent to Fabien Ringeval ( and François Portet ( The application file should contain:
·   Curriculum vitae
·   Recommendation letter
·   One-page summary of research background and interests
·   At least three publications demonstrating expertise in the aforementioned areas
·   Pre-defence reports and defence minutes; or summary of the thesis with date of defence for those currently in doctoral studies

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