Optimization-based predictive control (or nonlinear model predictive control) has reached a fairly mature stage as far as basic theory and numerical algorithms are concerned. However, there is still progress to be made when it comes to how to combine good control performance with economic performance, particularly during large load changes, product grade changes, etc. The successful candidate will improve state-of-the-art by developing new formulations with analysis of closed-loop properties. The work will take place in an active research group with industrial and international interactions.
There is a PhD research fellowship position vacancy at the Department of Engineering Cybernetics, to work with next-generation optimization-based predictive control.
The position is offered for a period of 4 years, 25% of which goes into mandatory work for the Department.
Applicants must have a MSc (or siv.ing.) degree in control systems or similar.
Solid scientific qualifications, relevant MSc research topics and personal qualities are important.
Foreign applicants must document a TOEFL score of 600 or higher. |
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