*PostDoc position at Grenoble Alps University, France*

*Summary*
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.

*Requirements*
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

*Application*
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 (fabien.ringeval@imag.fr) and François Portet
(francois.portet@imag.fr). 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