Postdoc Position in Intelligent Exoskeleton
Technical University of Munich School of Robotics and Machine Intelligence

Open Postdoc Position in Intelligent Exoskeleton

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.


We are looking for an outstanding PhD student to contribute to the Geriatronics project in the MSRM field office located in Garmisch-Partenkirchen. This PhD position will give you a unique opportunity to work on the intersection between control, human-machine interaction and intelligent exoskeletons for human assistance/augmentation. Please consider applying if you have a strong background in mechanical engineering, mechatronics, electrical engineering and/or medical robotics. We especially seek individuals who have some previous experience and knowledge in at least two of the following areas:

• Mechanical Design (with Solidworks or similar)
• Machine elements, technical mechanics, multi-body systems, finite elements, possibly lightweight construction for the purpose of designing mechanical systems
• Robotics (coordinate systems, robot dynamics)
• Control engineering
• Electrical drive technology
• Matlab/Simulink

How to apply?

The following documents are needed for applications:
• 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 quoting “PhD Application, Intelligent Exoskeleton” 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

Data protection notice:

As part of your application for a job at the Technical University of Munich (TUM), you submit personal data. Please note our data protection information in accordance with Art. 13 General Data Protection Regulation (GDPR) for the collection and processing of personal data in the context of your application. By submitting your application, you confirm that you have read TUM's data protection notice.


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