Research Assistant and Specialist in Traffic Environment Perception using Multi-Modal Sensors

Technical University of Munich, Germany

Updated: over 1 year ago
Deadline: The position may have been removed or expired!

16.09.2022, Wissenschaftliches Personal

Are you passionate about machine-learning based systems for traffic environment perception? Do the challenges of precision, time-criticality, resource, and energy demand of AI based solutions excite you? Do you want to set the tone for future mobility systems with your creative ideas and solutions?

We might just have an interesting position for you as a research assistant and specialist in multi-modal environment perception with a strong focus on time-criticality, precision, and computational resource optimization. For further details click here .

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 3km long test-field consists of 7 sensor stations equipped with 75 multi-modal sensors and 5 high performance distributed computing nodes interconnected by a high bandwidth backbone network. 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 with a principal focus on monocular cameras
  • 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
  • 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, informatics or electrical engineering
  • 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, inter process communication and containerized deployment options
  • Exposure to service-oriented architectures, open source middleware ROS1 and ROS2, RTOS and DevOps
  • Ability to work independently, willingness to learn and acquire new competence

    • What 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!

    • The employment will be as per TV-L E13 on a fixed term contractual basis. The Chair of Robotics, AI and Real-Time Systems at TU Munich strives to increase the proportion of women employees and therefore strongly encourages relevantly qualified women to apply. Severely disabled persons are given preference upon equal suitability and qualification.

    Your Application

    Please send your application consisting of a motivation letter, curriculum vitae, copies of your bachelor's and master's degrees and transcripts, employment certificates and any other relevant documents - all combined into one pdf file not exceeding 10MB in size - to the email address applications(at)testfeld-a9.de latest by 02 October 2022. Please use the text Application RA_ITS_202209_A in the subject field of the email.

    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: [email protected]


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