[robotics-worldwide] [jobs] Open PhD Positions at the Chair of Robotics Science and Systems Intelligence (RSI), TUM

Saeed Abdolshah saeed.abdolshah at tum.de
Sun Mar 1 07:35:17 PST 2020

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.) and home to one of the most vibrant
environments in robotics. 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 Chair of Robotics Science and Systems Intelligence (RSI) is a member of
the TUM Munich School of Robotics and Machine Intelligence (MSRM), directed
by Prof. Sami Haddadin. The MSRM is a globally visible interdisciplinary
research center for machine intelligence, which is the integration of
robotics, artificial intelligence and perception. Its three central
innovation sectors are the future of health, the future of work, and the
future of mobility. More than 50 professors from various TUM faculties
cooperate within the framework of MSRM. The research focus of RSI is the
development of control algorithms, mechatronics, intelligent robotics and
prosthetics, robot learning algorithms, foundations of machine intelligence,
as well as nonlinear control and systems theory. Furthermore, we offer
unified teaching in terms of lectures, laboratories and student projects
with a tight connection to cutting-edge research.


We are looking for PhD applicants with experience in robotics and control
and strong interest to further develop their skills. The selected applicants
are expected to have:

• Masters or PhD-level degree in Robotics, Mechatronics, Computer Science or
closely related fields
• Strong background in robotics, kinematics and dynamics
• Prior experience in impedance control, adaptive learning control, tactile
sensing and collision handling for robotic manipulators is a plus
• Strong communication skills, including fluency in written and spoken
• Enthusiastic and highly motivated to complete a PhD

How to apply?

Applications should include the following documents:
• 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 us the necessary documents via email to:
applications at msrm.tum.de quoting “PhD Application, Projects” in the e-mail
subject line. Applications will be considered until the positions have been
filled. Preference will be given to applications received before March 15th,
2020. Only shortlisted candidates will be notified. 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.

Saeed Abdolshah, PhD
Postdoc researcher
Munich School of Robotics and Machine Intelligence
Technische Universität München
Heßstraße 134
80797 München
Email: saeed.abdolshah at tum.de

Phone: +49 89 289 29413    

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