Function description
Mechatronic machines evolved to complex systems that consist of several subsystems, each with their own actuators, sensors and controllers. This collective of subsystems has to be steered properly to make sure the machine realizes the requested objective (e.g. weaving cloth, harvesting grain). Moreover, due to varying working conditions and variations in the performances asked for by different operators using the machine, machine controllers have to be able to (i) react on varying control targets and (ii) deal with uncertain information. The simple PID-like control structures that were used in the past for steering machines do not suffice any longer and model based controllers have to be used. Recently, stochastic optimization based control techniques have emerged that can deal with uncertain information and varying circumstances. Also, techniques originating from Artificial Intelligence (AI) (e.g. Reinforcement Learning) are getting introduced in machine controllers to deal with the most vaguely defined situations. Currently, FMTC is developing such stochastic optimization based control methodologies for machine applications and investigating how AI techniques can be used in machine controllers. To intensify these activities, new co-workers are looked for.
The techniques you develop will amongst other be demonstrated on our badminton robot: http://www.youtube.com/watch?v=LSax71cn6A4
With a team of mechatronics experts, you will conduct research after stochastic optimization based control technologies and AI techniques for mechatronic systems. Next to more theoretical work, special attention will be paid to the implementation of technologies to make them applicable for a variety of industrial systems. You will work in close collaboration with experts from our industrial partners and have regular contacts with mechatronics experts from knowledge centres in Belgium and abroad.
Profile
You have an Engineering degree, preferably in mechatronics. You have a broad technical background, including in-depth knowledge of mechanics and control theory, and you are interested in new technologies. You are a result oriented team player with good communication skills. Relevant industrial and research experience is an asset.
Please email your curriculum vitae and application letter to jobs@fmtc.be.
