*Call for postdoc applications in affective computing*
(Grenoble Alps University)

*Summary*

The Grenoble Alps University has an open position for a highly
motivated postdoc researcher. The successful candidate will be working
on the multi-disciplinary research project THERADIA, which aims at
creating an adaptative virtual assistant that accompanies patients
suffering from cognitive disorders during the completion of cognitive
remediation exercises at home. The person recruited will have the
exciting opportunity to develop new machine learning techniques for the
robust detection of affective behaviours from audiovisual data
collected in-the-wild. Models will be embodied in the virtual agent to
monitor and adapt the interaction with the patient, and the whole
system will be further tested in a clinical trial to demonstrate the
effectiveness of the agent for accompanying patients suffering from
cognitive conditions during digital therapies.

Duration: 2 years
Salary: according to experience (up to 4142¤ / month)

*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:

-   Good knowledge of machine learning techniques
-   Good knowledge of speech and 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