PhD Position in Radar Perception

Technische Universität München
March 09, 2023
Offerd Salary:Negotiation
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Contract Type:Other
Working Time:Full time
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PhD Position in Radar Perception

22.02.2023, 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 institutions. The university also forges strong links with companies and scientific institutions across the world.

The TUM Munich Institute of Robotics and Machine Intelligence (MIRMI) is a globally visible interdisciplinary research center for machine intelligence, which is the integration of robotics, artificial intelligence and perception. Its four central innovation sectors are the future of health, the future of work, the future of the environment, and the future of mobility. More than 50 professors from various TUM faculties cooperate within the framework of MIRMI.


The position offers the opportunity to be included in an innovative European Industrial Doctorate (EID) research and training program at the University of Örebro in Sweden, Bosch Rexroth and TU Munich in Germany. The selected candidate will acquire deep knowledge of state-of-the-art radar hardware and radar perception algorithms leveraging classic and AI approaches. They will have the chance to shape the future in mobile robotics and gain experience working in an international environment in academia and industry. More information about the position itself and the application process can be found at https: // www. .

(MORE is a Marie Skłodowska-Curie International Training Network funded by the European Union's Horizon 2020 research and innovation program. https: // www.


Candidates shall, at the date of recruitment, be at the beginning or in the first four years (full-time equivalent research experience) of their research careers and have not been awarded a doctoral degree. The researcher must not have resided or carried out his/her main activity (work, studies, etc) in the country of his/her first employer (Örebro University, Sweden) for more than 12 months in the 3 years immediately prior to his/her recruitment. The applicant must be in possession of a Master of Science (MSc) diploma at the beginning of the employment in engineering, computer engineering, mathematics, automation, or similar. Proficiency in written/spoken English is mandatory.

How to apply?

The following documents are needed for applications:

  • Certified copies of the bachelor's and master's degree certificates with the Diploma Supplement (DS) as approved by the EU Commission for degrees completed in European universities (when applicable)Official translations into English (if the original documents are in a language other than English)
  • Curriculum Vitae/CV
  • List of publications (if any) and a description of your contributions in the publication
  • References: Contact details of 2 or more referees included in the CV
  • Motivation letter: maximum 1 page where you introduce yourself and present your qualifications; you may include also your previous research fields and main research results. Please emphasize your future goals career-wise
  • Interested applicants should send the necessary documents via email to Prof. Dr. Achim J. Lilienthal quoting “PhD in Radar Perception” in the email subject line. The position will be filled as soon as possible and only shortlisted candidates will be notified. Priority will be given to applications received by March 9, 2023.

    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 Institute of Robotics and Machine Intelligence Georg-Brauchle-Ring 60-62, 80992 München [email protected]

    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.

    Kontakt: [email protected]

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