Gesture and activity recognition

The Perception and Activity Understanding group seeks one PhD candidate for a Swiss NSF funded project aiming to study robot skills acquisition through active learning and social interaction strategies (ROSALIS).

The PhD candidate will work on the multimodal perception of persons and in particular on gesture analysis, with tasks going from the accurate estimation and tracking of upper-body pose or hands, the contextual recognition of gestures from RGB-Depth data, their temporal segmentation, and the exploitation of different cues like gaze or speech. Experiments on standard datasets from the computer vision and multimodal domains is expected. Collection of project specific data might also be envisioned.

The ideal PhD candidate should hold a MS degree in computer science, engineering, physics or applied mathematics. S/he should have a good background in statistics, linear algebra, signal processing and programming, machine learning. Experience in computer vision and deep learning are definitely a plus. The successful applicant will have good analytical skills, written and oral communication skills.

The position is for 4 years, provided successful progress, and should lead to a dissertation. The selected candidates will become doctoral students at EPFL provided acceptance by the Doctoral School at EPFL. Annual gross salary ranges from 47,000 CHF (first year) to 50,000 CHF (last year).

More info: Jean-Marc Odobez


Interested candidates are invited to submit a cover letter, a detailed CV, and the names of three references through the Idiap online recruitment system:

Gesture and activity recognition