Lernende Regelungsysteme / Learning Control Systems

Lernende Regelungsysteme / Learning Control Systems

The Institute of Automatic Control Engineering, Technische Universität München, is seeking an Assistant/wissenschaftliche/r Mitarbeiter/in with the opportunity for dissertation in the emerging area of learning control. Starting from classical control theory, emerging methodologies including modern adaptive control, reinforcement learning, and randomized algorithms are investigated. Research is foreseen to be mainly in control theory and is likely to include methods from the following areas:

- system identification

- robust control methods

- fault tolerant systems / fault diagnosis

- direct and indirect adaptive control

- reinforcement learning

- stochastic control

 

The position has the potential of full salary according to German rules (13 TV-L). Requirements are a successful degree (master/diploma) with excellent records. Please send your application including your complete CV, relevant certificates, and some of your publications by Email to lsr@ei.tum.de with the Keyword "CogCon". The deadline for application is October 31, 2011 but candidates are considered as their applications are received, so earlier submission is advisable. TUM is especially encouraging minorities and women to apply, because of its strong commitment to diversity in engineering education, research, and practice.

 

Univ.-Prof. Dr.-Ing./Univ. Tokio Martin Buss

Lehrstuhl für Steuerungs- und RegelungstechnikTechnische Universität München

80290 München