The optimization group within the Division of Automatic Control at the Department of Electrical Engineering is seeking a post-doctoral fellow that would like to be engaged in cutting edge interdisciplinary control research involving optimization and learning with applications to autonomous systems. The research activity will focus on development of autonomous optimization, i.e. to learn optimal optimization algorithms for optimization problems relevant to autonomous systems. This work will be carried out in collaboration with The Royal Institute of Technology in Stockholm. The project is an Expedition Project funded by WASP. There are no teaching duties involved.
A Ph.D. degree (or close to completion) in Systems and Control, Applied Mathematics, or related field is required. Ideal candidates must have a strong background in Systems Theory, Automatic Control, Optimization and Statistical Learning. Excellent interpersonal, written, and oral communication skills and ability to write peer reviewed papers with limited supervision are important. The candidate must have the ability to collaborate with a multidisciplinary team of scientists and industry. Experience of developing efficient computer code is required.
The position requires a doctorate or an equivalent degree from a foreign university. The doctorate shall have been obtained no longer than three years before the expiration date of the application.