New opening for a PhD student position in robot learning for interactive dressing assistance

The Robot Learning & Interaction Group at Idiap is recruiting a PhD student in the field of robot learning and control. The work will take place within a CHIST-ERA project on interactive dressing assistance (I-DRESS) starting in December 2015, in collaboration with CSIC-UPC and UWE-BRL, where Idiap contributes to the robot learning aspects.

The project aims at providing proactive dressing assistance to disabled users (putting on and taking off shoes and coat). The system consists of two dexterous robotic arms endowed with sensors for multi-modal human-robot interaction. It will exploit vision, speech and haptics to understand the meaning of user actions during the dressing task. The objective is to develop learning from demonstration algorithms to teach the robot new dressing tasks, and adapt existing tasks to new user profiles or to changing user preferences or environmental conditions. The concept of movement primitives will be extended to a richer set of time-dependent and time-independent behaviors such as reaction, sensorimotor and impedance primitives, which will be combined in series and in parallel to form more complex behaviors.

The ideal PhD candidate should hold an MS in computer science, engineering, physics or applied mathematics. S/he should have a background in statistics, linear algebra, signal processing and programming (C++ or Matlab). The successful PhD candidate will become a doctoral student at EPFL ( provided that s/he is accepted by the Doctoral School at EPFL ( Appointment for the PhD position is for a maximum of 4 years. Annual gross salary ranges from 47,000 CHF (first year) to 50,000 CHF (last year). Starting date is immediate or to be negotiated early 2016.

For more information, please contact Dr Sylvain Calinon ( Interested candidates should submit a cover letter, a detailed CV, and the names of three references (or recommendation letters) through the Idiap online recruitment system. Application deadline: Oct. 15, 2015.


To apply for the position, click on the following link: robot learning for interactive dressing assistance