Germany: PhD and Post-doctorate Positions in Robotics and Machine Learning

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Application Deadline: There is no fixed deadline: the positions will be filled as soon as possible.

Description: The Intelligent Autonomous Systems Lab (IAS) at the Technical University of Darmstadt (TU Darmstadt) is seeking for several highly qualified postdoctoral researchers as well astalented 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.

Position Requirements
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 learning.
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 applicants.

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