Image Understanding/Intelligent Autonomous Systems (VISION/IAS) Department of Informatics (CS9) Technische Universitaet Muenchen/Munich University of Technology (TUM)
- Postdoctoral researchers - doctorate students - exchange researchers and - short-term guest researchers (3-6 months)
The applicants should have a very strong research background, interest, and experience in at least one of the following areas:
- knowledge processing and learning applied to autonomous robot control (with an emphasis on relational learning methods), - plan-based control of robotic agents/AI planning (in particular Lisp-based robot control systems), and - cognitive image processing and understanding/perception (in particular: activity recognition and scene recognition for robotic grasping, 3d mapping, and manipulation tasks in natural environments).
The successful candidates will work within the CoTeSys cluster of excellence. The overall objective of CoTeSys is to develop and apply cognitive mechanisms to various technical systems (factory, vehicles, humanoids) in real-world scenarios. CoTeSys brings together top-researchers from several institutes and organizations: TUM (Technische Universitaet Muenchen), LMU (Ludwig-Maximillian Universitaet), UniBW (Bundeswehr Muenchen Universitaet), DLR (Deutsches Zentrum fuer Luft und Raumfahr/German Aerospace Center) and MPI (Max-Planck Institute).
Proficiency in written/spoken English is mandatory.
TUM is striving to increase the number of female researchers and encourages women to apply. Preference will be given to handicapped applicants if equally qualified.
Applications should be sent to:
Sabine Wiegert Computer Science Department IX Technische Universitaet Muenchen Boltzmannstr. 3, 85748, Garching b. Muenchen, Germany
or via e-mail to: snipped-for-privacy@cs.tum.edu
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