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PhD student (Electrical Engineering / Computer Science / Biomedical Engineering / Medical Robotics)

10.05.2019, Wissenschaftliches Personal

The Munich School of Robotics and Machine Intelligence (MSRM) at the Technical University of Munich is looking for outstanding applicants for PhD positions under supervision of Prof. Sami Haddadin.

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 founded and 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. Its three central application focuses 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.

Description
We are looking for EXCELLENT PhD students to help build up a medical research center under the supervision of Prof. Haddadin and in collaboration with medical personnel, technicians, and researchers. Please consider applying if you have a background in electrical engineering, computer science, biomedical engineering, and/or medical robotics. We especially seek individuals who wish to specialize in medical data and applications. German language skills are not required to apply, but it is expected that speaking skills will be learned for daily interaction in a medical setting.

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 us the necessary documents via email to: applications@msrm.tum.de quoting “PhD Application, Project H” in the e-mail subject line. The positions will be filled as soon as possible and only shortlisted candidates will be notified. Preference will be given to applications received before June 15th, 2019. 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

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