Technische Universität München

Postdoc Position in Robotics (Control, Modelling and Learning)

 
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Postdoc Position in Robotics (Control, Modelling and Learning)

18.05.2020, Wissenschaftliches Personal

About us
Located in the prosperous capital of Bavaria and home to over 39000 students, the Technical University of Munich (TUM) is one of the world’s top universities (top 4 European technical universities in The World University Ranking, top 50 in Shanghai Ranking, top 10 in Global University Employability Ranking, etc.). It is committed to excellence in research and teaching, interdisciplinary education, and the active promotion of promising young scientists. TUM benefits from the healthy mix of companies and startups of all sizes headquartered in the region and is tightly connected to regional research hospitals. The university also forges strong links with companies and scientific institutions across the world.

The TUM Munich School of Robotics and Machine Intelligence (MSRM) is directed by Prof. Sami Haddadin (2019 Leibniz prize winner). The MSRM is a globally visible interdisciplinary research center for machine intelligence, which is the integration of robotics, artificial intelligence and perception. A lighthouse initiative of the MSRM is the Geriatronics project located in Garmisch-Partenkirchen. This refers to the use of robotics, mechatronics and information technology, in particular machine intelligence, in the field of gerontology and geriatric as well as in preventive, outpatient and inpatient care of the elderly.

Description
We are looking for an outstanding Postdoc to contribute to the intelligent service humanoid GARMI in the MSRM field office located in Garmisch-Partenkirchen. This Postdoc position will give you a unique opportunity to work on design, construction and implementation of a highly advanced humanoid electromechanical robotic system. Please consider applying if you have a strong background in robot modelling, control and learning. We especially seek individuals who have experience and knowledge in the following areas:
  • Practical experience in programming and handling robot systems (e.g. lightweight industrial robots, humanoids or research systems)
  • Profound knowledge of robot control, dynamics and kinematics
  • Profound knowledge in machine learning
  • Experience in writing highly optimized and efficient software in C/C++
  • Independent, self-reliant working style
  • Willingness and interest in learning about new and challenging topics
  • Team player
  • Good knowledge in dealing with ROS
  • Knowledge in the field of simulation
  • Experience with real-time software
  • Basic knowledge of German

    What we offer
  • Stimulating, high-paced environment for cutting-edge research in various fields including robotics, machine learning, systems intelligence, musculoskeletal and neurological studies.
  • Pleasant working conditions with interesting and challenging tasks in collaboration with a talented and interdisciplinary scientific and management team.
  • An exceptional opportunity to experience research in a highly inspiring international environment and to learn from some of the world’s leading researchers.
  • The opportunity to develop your professional research and leadership skills in a high-impact field with excellent career opportunities.

    How to apply?
    The following documents are needed for applications: o A motivation letter describing your research interests, your qualifications, and why you would be a suitable candidate
  • A detailed CV
  • Academic transcripts from your Bachelor’s and Master’s degrees
  • Email addresses of at least two references

    Interested applicants should send the necessary documents via email to applications msrm.tum.de quoting "Postdoc Application, Robotics (Control, Modelling and Learning)" in the e-mail subject line. The position will be filled as soon as possible and only shortlisted candidates will be notified. Preference will be given to applications received before June 20th, 2020.

    TUM has been pursuing the strategic goal of substantially increasing the diversity of its staff. As an equal opportunity and affirmative action employer, TUM explicitly encourages nominations of and applications from women as well as from all others who would bring additional diversity dimensions to the university’s research and teaching strategies. Preference will be given to disabled candidates with equal qualifications. International candidates are highly encouraged to apply.

    Technische Universität München
    Munich School of Robotics and Machine Intelligence
    Heßstraße 134
    80797 München
    applications msrm.tum.de

    Hinweis zum Datenschutz:
    Im Rahmen Ihrer Bewerbung um eine Stelle an der Technischen Universität München (TUM) übermitteln Sie personenbezogene Daten. Beachten Sie bitte hierzu unsere Datenschutzhinweise gemäß Art. 13 Datenschutz-Grundverordnung (DSGVO) zur Erhebung und Verarbeitung von personenbezogenen Daten im Rahmen Ihrer Bewerbung. Durch die Übermittlung Ihrer Bewerbung bestätigen Sie, dass Sie die Datenschutzhinweise der TUM zur Kenntnis genommen haben.

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