Public selection for n.1 post doctoral fellow position in "Methods for control and optimization of dynamical systems"

Profile:

A highly motivated and talented individual to join our team as a Postdoctoral Researcher. The successful candidate should hold a PhD in a field related to control systems, numerical optimization, model-predictive control, optimal control, learning-based control, robot control, or system identification. The candidate must have a proven track record of research excellence demonstrated by publications in top-tier journals and conferences, and the ability to work independently and as part of a team.

Activity:

The successfull candidate will carry out research activities within the scope of the ERC Advanced Grant “COMPACT” (COmputational Model Predictive and Adaptive Control Tools) on one of the following topics: numerical optimization methods for controlling  multi-agent systems, possibly in a game-theoretic setting; learning-based, explicit, and semi-explicit MPC algorithms for fast online controller evaluation and light MPC adaptation schemes, validating the research results on an experimental multi-arm robotic platform.

Duration:

24 months

Gross amount:

€ 40.990,00 per year

Formal requirements:

• PhD; 
• Strong background and a proven track record of research excellence in the field of automatic control, demonstrated by publications in top-tier journals and conferences.

SSD:

IINF-04/A - Automatic control