*** PROSPECTIVE APPLICANTS: PLEASE MEET GERHARD NEUMANN AT NIPS OR GUILHERME MAEDA AND ELMAR RUECKERT AT HUMANOIDS (IF YOU ATTEND) *** Robotics & Machine Learning Positions =============================== The Autonomous Systems Labs (CLAS and 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) * Robot Grasping and Manipulation * Robot Control, Learning for Control * Robot Table Tennis Please relate clearly to these topic in your Research Statement. 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 our 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. ABOUT THE APPLICANT 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. THE POSITIONS The positions are started with a 24 months contract and may be extendable up to 48 months. Payment will be according to the German TVL E-13 or E-14 payment scheme, depending on the candidates experience and qualifications. HOW TO APPLY? All complete applications submitted through our online application system found at Application - Jobs - Autonomous Systems: CLAS and IAS - Informatik - TU Darmstadt 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 Gerhard Neumann, Jan Peters, Guilherme Maeda, Elmar Rueckert, Tucker Hermans or Serena Ivaldi during the upcoming Humanoids, NIPS or other conferences. Candidates giving a presentation at one of these conferences are invited to send a corresponding note to us. ABOUT CLAS AND IAS The Autonomous Systems Labs CLAS and IAS aim at endowing robots with the ability to learn new tasks and adapt their behavior to their environment. To accomplish this goal, IAS focuses on the intersection between Machine Learning, Robotics and Biomimetic Systems. Resulting research topics range from algorithm development in machine learning over robot grasping/manipulation and robot table tennis to biomimetic motor control/learning and brain-robot interfaces. Members of CLAS and IAS have been highly successful, as exhibited by recent awards, which include a Daimler Benz Fellowship, several Best Cognitive Robotics Paper Awards, the Georges Giralt Best 2013 Robotics PhD Thesis Award, an IEEE RAS Early Career Award, etc. The lab collaborates with numerous universities in Germany, Europe, the USA and Japan. CLAS and IAS are partners in several European projects with many top institutes in ML and Robotics.. The CLAS and IAS lab is located in the Robert Piloty Building in the beautiful Herrngarten park. It is less than fifty meters from a beer garden frequently used for lab meetings and after successful paper submissions. ABOUT TU DARMSTADT The TU Darmstadt is one of the top technical universities in Germany, and is well known for its research and teaching. It was one of the first universities in the world to introduce programs in electrical engineering. our chemical elements were discovered at Darmstadt, most prominently, the element darmstadtium, and it is Germany's first fully autonomous university. More information can be found on: http://en.wikipedia.org/wiki/Darmstadt_University_of_Technology ABOUT DARMSTADT Darmstadt is well known high-tech center with important activities in space craft operations (e.g., through the European Space Operations Centre, the European Organization for Exploitation of Meteorological Satellites), chemistry, pharmacy, information technology, biotechnology, telecommunications and mechatronics, and consistently ranked among the top high-tech regions in Germany. Darmstadt's important centers for arts, music and theatre allow for versatile cultural activities, while the proximity of the Odenwald forest and the Rhine valley allows for many outdoor sports. The 33,547 students of Darmstadt's three universities constitute a major part of Darmstadt's 140,000 inhabitants. Darmstadt's immigrant population is among the most diverse in Germany, such that the knowledge of German language is rarely ever needed (and many IAS members do not speak any German). Darmstadt is located close to the center of Europe. With just 17 Minutes driving distance to the Frankfurt airport (closer than Frankfurt itself), it is one of best connected cities in Europe. Most major European cities can be reached within less than 2.5h from Darmstadt.
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