[Announcements] Call for postdoc applications in affective computing (Grenoble Alps University)
François Portet
francois.portet at imag.fr
Thu Sep 9 05:02:51 EDT 2021
*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 at imag.fr
<mailto:fabien.ringeval at imag.fr>) and François Portet
(francois.portet at imag.fr <mailto:francois.portet at 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
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