Stellenbeschreibung:

, Wissenschaftliches Personal

Open PhD Positions

The PhD positions will be full-time (100%, TV-L E13). We are committed to fostering a diverse and inclusive research environment, and we strongly encourage candidates from underrepresented groups to apply. The review process is on a rolling basis. Please refer to the "Application Procedure" section for details on how to apply (application form).

Current PhD Openings

  • Resilient Communication and Learning-based Control for Embodied Networked Intelligence (6G-life) (ID: TUEILSY-PHD15)
  • Safe and capable humanoids in interaction-rich scenarios (ID: TUEILSY-PHD12)
  • Act Based On What You See: Semantically Safe Robot Interaction (ID: TUEILSY-PHD -SSR)
  • Distributed Multiagent Planning and Control for Large Aerial Swarms in Changing Environments (ID: TUEILSY-PHD -SAS)
  • Safe Collaborative Manipulation in Cluttered and Dynamic Environments (ID: TUEILSY-PHD -SCMM)

A more detailed topic description can be found at

Requirements

  • Top-ranked Master's degree in robotics, computer vision, system control, machine learning, mathematics, or a related field (background in any of the following);
  • Being excited to make a real impact with their thesis work in the field of robotics;
  • Strong programming skills in C++ and/or Python, as well as experience in implementing robot learning algorithms;
  • A strong background in control theory, machine learning, and/or computer vision;
  • A proven track record demonstrating strong problem-solving skills and the ability to conduct independent research (e.g., through publications at top venues in robotics, computer vision, machine learning, or a relevant field);
  • Excellent communication skills in English and ability to work in a dynamic team environment;
  • Previous experience working with real robots is a plus.

If you do not satisfy all requirements but are very interested in the position, please feel free to apply and/or reach out to us for questions.

Application Procedure

Please submit your application package via the following link: In the application form, you will be asked to submit a package that includes the following documents:

  • A personal statement highlighting research interests and relevant experience;
  • An academic CV including a full list of publications;
  • Transcripts;
  • Relevant certificates (e.g., university degrees, additional courses);
  • Contact information of three referees;
  • Any additional supporting documents you would like to share with us.

Die Stelle ist für die Besetzung mit schwerbehinderten Menschen geeignet. Schwerbehinderte Bewerberinnen und Bewerber werden bei ansonsten im wesentlichen gleicher Eignung, Befähigung und fachlicher Leistung bevorzugt eingestellt.

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

If you have any questions regarding the open positions or the application process, please contact us at and ensure that the posting ID is indicated in the subject line.

#J-18808-Ljbffr
NOTE / HINWEIS:
EnglishEN: Please refer to Fuchsjobs for the source of your application
DeutschDE: Bitte erwähne Fuchsjobs, als Quelle Deiner Bewerbung

Stelleninformationen

  • Veröffentlichungsdatum:

    26 Apr 2026
  • Standort:

    München

    Einsatzort:

    Technische Universität München, Arcisstraße 21, 80333 München, Deutschland
  • Typ:

    Vollzeit
  • Arbeitsmodell:

    Vor Ort
  • Kategorie:

  • Erfahrung:

    2+ years
  • Arbeitsverhältnis:

    Angestellt

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