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Technical University of Munich

Technical University of Munich

Sitemap > Jobs und Stellenangebote > Wissenschaftliches Personal > Open Ph.D. Position at the Chair of Robotics and Systems Intelligence (RSI) in the field of AI-based lab experiment automation
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Open Ph.D. Position at the Chair of Robotics and Systems Intelligence (RSI) in the field of AI-based lab experiment automation

31.03.2021, Wissenschaftliches Personal

The Chair of Robotics Science and Systems Intelligence (RSI) at the Technical University of Munich is looking for outstanding applicants for a Ph.D. position.

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 TUM Munich School of Robotics and Machine Intelligence (MSRM) member, directed by Prof. Sami Haddadin. The MSRM is a globally visible interdisciplinary research center for machine intelligence, representing 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.

Project Description
We are currently looking for an EXCELLENT Ph.D. student to join our AI-based lab experiment automation team. During the project, autonomous robot planning and execution algorithms for biochemical experiments shall be developed and realized through the combination of collaborative robotics, machine learning, and perception. Please consider applying if you have a strong background in computer science, electrical engineering, or a comparable field. We especially seek individuals who wish to deeply specialize in AI-based planning algorithms, robotic control programs, and machine learning.

How to apply?

Ph.D. 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
• E-mail addresses of at least two references

Interested applicants should send us the necessary documents via e-mail to applications@msrm.tum.de , quoting “Ph.D. Application, AI-based lab experiment automation, Chair of Robotics Science and Systems Intelligence (RSI)” in the e-mail subject line. Applications will be considered until the positions have been filled. Preference will be given to applications received before May 1st, 2021, and the targeted starting date would be mid of June 2021. 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.

Data Protection Information:
When you apply for a position with the Technical University of Munich (TUM), you are submitting personal information. With regard to personal information, please take note of the Datenschutzhinweise gemäß Art. 13 Datenschutz-Grundverordnung (DSGVO) zur Erhebung und Verarbeitung von personenbezogenen Daten im Rahmen Ihrer Bewerbung. (data protection information on collecting and processing personal data contained in your application in accordance with Art. 13 of the General Data Protection Regulation (GDPR)). By submitting your application, you confirm that you have acknowledged the above data protection information of TUM.

Kontakt: applications@msrm.tum.de