[robotics-worldwide] Robotics & Machine Learning Positions @ TU Darmstadt

Jan Peters @ IAS TU Darmstadt jobs at intelligent-autonomous-systems.de
Sun May 5 10:36:32 PDT 2013

Open Robotics & Machine Learning Positions


The Intelligent Autonomous Systems Lab (IAS) at the Technical University
of Darmstadt (TU Darmstadt) is seeking for several highly qualified
postdoctoral researchers as well as talented Ph.D. students with strong
interests in one or more of the following research topics:

* Machine Learning for Robotics (especially Reinforcement Learning,
 Imitation, and Model Learning)
* Tactile Exploration, Robot Grasping and Manipulation
* Interaction Learning, Intent Modeling and Inference
* Whole-body Contacts in Humanoid Robotics
* Robot Control, Learning for Control
* Robot Table Tennis

Outstanding students and researchers from the areas of robotics and
robotics-related areas including machine learning, control engineering
or computer vision are welcome to apply. The candidates are expected
to conduct independent research and at the same time contribute to
ongoing projects in the areas listed above. Successful candidates can
furthermore be given the opportunity to work with undergraduate, M.Sc.
and Ph.D. students.


Due to IAS' strong ties to the Max Planck Institutes for Intelligent
Systems and Biological Cybernetics, the University of Southern
California, as well as to the Honda Research Institute, there will be
ample opportunities of collaboration with these institutes.


Ph.D. position applicants need to have a Master's degree in a
relevant field (e.g., Robotics, Computer Science, Engineering,
Statistics & Optimization,  Math and Physics) and have exhibited
their ability to perform research in either robotics or machine

A successful Post-doc applicant should have a strong robotics and/or
machine learning background with a track record of top-tier research
publications, including relevant conferences (e.g., RSS, ICRA, IROS or
ICML, IJCAI, AAAI, NIPS, AISTATS) and journals (e.g., AURO, TRo,
IJRR or JMLR, MLJ, Neural Computation) . A Ph.D. in Computer Science,
Electrical or Mechanical Engineering (or another field clearly related
to robotics and/or machine learning) as well as strong organizational
and coordination skills are a must.

Expertise in working with real robot systems is a big plus for all


All complete applications submitted through our online application
system found at


will be considered. There is no fixed deadline: the positions will be
filled as soon as possible. Ph.D. applicants should provide at least a
research statement, a PDF with their CV, degrees, and grade-sheets,
and two references who are willing to write a recommendation letter.
PostDoc applicants require three references and, in addition,  should
provide their top three publications. Please ensure to include a link
to your research web-site as well as your date of availability.

Applicants are encouraged to contact Jan Peters, Marc Deisenroth,
Heni Ben Amor and Gerhard Neumann during the upcoming ICRA,
R:SS or ICML conferences. Candidates giving a presentation at one of these
conferences are invited to send a corresponding note to us.



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