<html><body style="word-wrap: break-word; -webkit-nbsp-mode: space; -webkit-line-break: after-white-space;" class=""><div class=""><b class="">PostDoc position at Grenoble Alps University, France</b></div><div class=""><br class=""></div><div class=""><b class="">Summary</b></div>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.<div class=""><br class=""></div><div class=""><div class=""><b class="">Duration</b>: 2 years, </div><div class=""><b class="">Salary</b>: according to experience (up to 4142€ / month)</div><div class=""><b class="">Envisaged starting date</b>: November 2022</div><div class=""> </div><div class=""><b class="">Scientific environment</b></div><div class="">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.</div><div class=""> </div><div class=""><b class="">Requirements</b></div><div class="">The ideal candidate must have a PhD degree and a strong background in machine learning, and affective computing or cognitive science/neuroscience.</div><div class=""> </div><div class="">The successful candidate should have:</div><div class="">· <span class="Apple-tab-span" style="white-space: pre;"> </span>Excellent knowledge of machine learning techniques</div><div class="">· <span class="Apple-tab-span" style="white-space: pre;"> </span>Good knowledge of speech and/or image processing</div><div class="">· <span class="Apple-tab-span" style="white-space: pre;"> </span>Good knowledge of experimental design and statistics</div><div class="">· <span class="Apple-tab-span" style="white-space: pre;"> </span>Strong programming skills in Python</div><div class="">· <span class="Apple-tab-span" style="white-space: pre;"> </span>Excellent publication record</div><div class="">· <span class="Apple-tab-span" style="white-space: pre;"> </span>Willing to work in multi-disciplinary and international teams</div><div class="">· <span class="Apple-tab-span" style="white-space: pre;"> </span>Good communication skills</div><div class=""> </div><div class=""><b class="">Application</b></div><div class="">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 (<a href="mailto:fabien.ringeval@imag.fr" class="">fabien.ringeval@imag.fr</a>) and François Portet (<a href="mailto:francois.portet@imag.fr" class="">francois.portet@imag.fr</a>). The application file should contain:</div><div class=""> </div><div class="">· <span class="Apple-tab-span" style="white-space: pre;"> </span>Curriculum vitae</div><div class="">· <span class="Apple-tab-span" style="white-space: pre;"> </span>Recommendation letter</div><div class="">· <span class="Apple-tab-span" style="white-space: pre;"> </span>One-page summary of research background and interests</div><div class="">· <span class="Apple-tab-span" style="white-space: pre;"> </span>At least three publications demonstrating expertise in the aforementioned areas</div><div class="">· <span class="Apple-tab-span" style="white-space: pre;"> </span>Pre-defence reports and defence minutes; or summary of the thesis with date of defence for those currently in doctoral studies</div></div></body></html>