The Institute of Automatic Control Engineering, Technische Universität München, is seeking several Assistants/wissenschaftliche/r Mitarbeiter/innen with the opportunity for dissertation in the emerging area of dynamic human-robot interaction. These research activities are embedded in the

ERC Advanced Grant project "Seamless Human-Robot Interaction in Dynamically Changing Environments" (SHRINE).

The approach of the project is highly innovative with pioneering character in the integrated approach as well as in the various sub-fields, strongly interdisciplinary bridging engineering approaches and human sciences, and constitutes visionary high-risk research with high-impact on future emerging technologies in the fields of strongly needed personal assistant and care robots, human-robot collaboration in manufacturing, and autonomous robots in human-centered environments.

Possible research foci include (but are not limited to):

- Emotion and intention recognition by observing humans

- High-speed motion recognition and interpretation

- Real-time motion prediction and action selection

- Fast human-robot joint manipulation

- Robot navigation in densely populated human environments

Candidates should have thorough background in robotics and control. However, we are explicitly encouraging people from other original fields of expertise such as applied mathematics, computer science, psychology, and sociology with strong interdisciplinary ambitions and interest in robotics to apply.

The positions have 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 "PosSHRINE". Candidates are considered as their applications are received, so early 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