[robotics-worldwide] [Jobs] Open Robotics & Machine Learning PostDoc and PhD Student Positions @ TU Darmstadt

Jan Peters mail at jan-peters.net
Sun Dec 11 07:18:07 PST 2016


Open Robotics & Machine Learning PostDoc and PhD Student Positions @ TU Darmstadt

The Intelligent Autonomous Systems Lab (IAS) at the Technical University of Darmstadt (TU Darmstadt) is seeking for highly qualified POSTDOCTORAL RESEARCHERS interested in

• 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

as well as talented PH.D. STUDENTS with strong interests in one or more of the following research topics:

• Model-based Reinforcement Learning leveraging on Structured Semi-Parametric Models
• Reinforcement Learning for Manipulation in Industrial Applications

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 will 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, the Honda Research Institute, Bosch Corporate Research and ABB Corporate Research, there will be ample opportunities of collaboration with these institutes and companies.

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 robotics and/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.


HOW TO APPLY?
All complete applications submitted through our online application system found at

https://urldefense.proofpoint.com/v2/url?u=http-3A__www.ias.tu-2Ddarmstadt.de_Jobs_Application&d=DgIFaQ&c=clK7kQUTWtAVEOVIgvi0NU5BOUHhpN0H8p7CSfnc_gI&r=0w3solp5fswiyWF2RL6rSs8MCeFamFEPafDTOhgTfYI&m=XaTyVzK8Q57xMlj843g9B54EjrRDtQfYIWnVyYJkRFU&s=cgM4z1eqHB8CsddXn5qmxiQobPRRPWmFDaCjczBDCew&e= 

will be considered. DO NOT SEND APPLICATIONS BY EMAIL! 

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, Elmar Rückert, Riad Akrour, Joni Pajarinen, Guilherme Maeda, Takayuki Osa and Gerhard Neumann during the upcoming conferences. Candidates giving a presentation at one of these conferences are invited to send a corresponding note to us.

MORE INFORMATION? VISIT:
https://urldefense.proofpoint.com/v2/url?u=http-3A__www.ias.tu-2Ddarmstadt.de_Jobs_InformationForApplicants&d=DgIFaQ&c=clK7kQUTWtAVEOVIgvi0NU5BOUHhpN0H8p7CSfnc_gI&r=0w3solp5fswiyWF2RL6rSs8MCeFamFEPafDTOhgTfYI&m=XaTyVzK8Q57xMlj843g9B54EjrRDtQfYIWnVyYJkRFU&s=3-jrzGe6aiUdK12zJPQZ8JCWOxaV7d9JlQgm3xW6s6Y&e= 






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