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Technische Universität München

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PhD Position in Traffic Environment Perception using Multi-Modal Sensors

17.06.2024, Wissenschaftliches Personal

About Us

The Chair of Robotics, Artificial Intelligence and Real-Time Systems operates a state-of-art research infrastructure for intelligent transportation systems and infrastructure-assisted autonomous driving on the A9 autobahn and the adjacent urban areas of Garching-Hochbrück near Munich. The test-field and the research infrastructure provide on the one hand permanent access to real-world data and on the other hand the opportunity to experiment, deploy and test the created solutions live and 24/7.

Your responsibilities

  • High quality research in the field of high precision environment perception using multi-modal sensors
  • Regular publication of results in high-impact and peer-reviewed journals and conferences
  • Ownership of the deployment architecture and computational resource allocation for the live test bed infrastructure covering the AI-toolchain, OS, and the middleware
  • Participation in research projects, execution of project deliverables and generation of reports
  • Interest in mobility technology and/or simulations, with preferably relevant prior experiences
  • Supervision of student thesis, and participation in periodic academic assignments at the chair
  • Assistance and active participation in the drafting of research proposals

What we look for in you

  • Master's degree completed in computer science or engineering
  • Proficiency in both written and spoken German to create project reports and participate at project meetings
  • In-depth knowledge of machine-learning based approaches in theory and practice
  • Strong programming skills in C++ and Python, and experience with machine-learning frameworks
  • Working knowledge of Linux and a basic understanding of network administration
  • Exposure to containerized deployment and open-source middleware (e.g. ROS1 and ROS2)
  • Ability to work independently, willingness to learn and acquire new competence

We Offer

  • A friendly and open work atmosphere, and best-in-class research infrastructure.
  • Participation in high-impact and visionary research projects
  • Unparalleled access to real-world data for your research
  • A network of renowned companies and research institutes as part of project consortia
  • An opportunity to make a visible impact, earn a doctorate degree and much more!
  • Full-time position with payment according to TV-L E13

Application

We look forward to your application! It should include relevant certificates and a brief statement of your experiences and motivation. Please send all documents as PDF files. Additionally, note that the materials are preferably submitted in German. Personal information submitted as part of your application will be in accordance with Art. 13 of GDPR. Please check https://portal.mytum.de/kompass/datenschutz/Bewerbung/ for the details. Wir freuen uns auf Ihre Bewerbung! Diese sollte für die Position relevante Zertifikate und eine kurze Darstellung Ihrer Erfahrungen und Motivation enthalten. Bitte senden Sie uns alle Dokumente im PDF-Format.

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: marie-luise.neitz@tum.de

Mehr Information

https://www.ce.cit.tum.de/fileadmin/w00cgn/air/Job_Offers/Stellenausschreibung_RA_202406_B.pdf