Société : CEA Catégorie : Stage Filiere : Marketing Lieu : Essonne (Île-de-France)
Mission
Description de l'offreObjectivesThe objective of the internship is to explore the spatio-temporal grounding of visual concepts and to propose improved generation methods along these dimensions. Scientifically, this problem relates to lifelong-learning and fine-grained classification, two areas in which the LASTI lab researchers have proven expertise. The internship will build on this expertise to propose an innovative approach of the topic.After an initial step dedicated to bibliographic research, the internship objectives will be to:Analyze and improve an existing spatially and temporally diversified visual datasetModel the spatio-temporal variability of visual concepts in an actionable wayPropose methods that improve the spatio-temporal grounding of synthetic content by adapting pretrained visual generatorsIntroduce dedicated protocols for the comprehensive and sound evaluation of the contributionThe internship is designed as an introduction to research, with the aim of publishing a scientific article if the results are conclusive. This initial work could be continued in a PhD thesis, within the broader framework of AI-related topics addressed by the LASTI labJob-related benefits:Joining the CEA List and the LASTI means:Working in one of the most innovative research organizations in the world, addressing societal challenges to build the world of tomorrowDiscovering a rich ecosystem: privileged connections between industry and academiaConducting research autonomously and creatively: encouragement to promote results (scientific articles, patents, open-source codes...)Work in a young and dynamic teamBenefit from an internal computing infrastructure with more than 300 state-of-the-art GPUsReceive a monthly stipend of ~1300€Have the opportunity to continue with a PhD or as a research engineer after the internshipWork remotely (2 days/week),Receive a 75% reimbursement on public transportation, and benefit from the “mobili-jeune” aid to reduce rent Profil du candidat Diploma: M2 or final year of engineering degreeSkills:Machine learning skills (deep learning, multimedia models, generative AI…)Preferred: hands-on experience with visual content generation modelsPython proficiency in a deep learning framework (preferably PyTorch)In line with CEA's commitment to integrating people with disabilities, this job is open to all.CLIQUER ICI POUR POSTULER
