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For the Institute of Medical Technology and Intelligent Systems of the Hamburg University of Technology for the earliest possible date, we are lookingfor a:

RESEARCH ASSOCIATE (m/f/d) / WISSENSCHAFTLICHER MITARBEITER (m/w/d)



full time and for a maximum of  four years. The remuneration is in accordance with TV-L 13 TV-L.

No.: 16423WE1


YOUR TASKS

  • Machine learning methods for multi-criteria optimization and path planning, e.g., for medical and mobile robots in dynamic environments
  • Designing efficient machine learning models, including models running on embedded hardware
  • Designing and implementing prototypical robotic systems
  • Systematic experimental evaluation in the context of medical and mobile robotics scenarios, e.g., motion compensated robotic radiation therapy, robotic needle steering, and mobile robotic platforms
  • Presentation of your results at top-tier international conferences and publications in high-ranking journals

YOUR PROFILE

  • Master degree in computer science or related fields with excellent grades
  • Very good programming skills, particularly in both C++ and Python
  • Excellent knowledge of optimization and recent machine learning methods, particularly for computer vision
  • Hands-on experience with mobile robots and robotics frameworks, particularly ROS is a big plus
  • Strong research focus and ability to work independently
  • Excellent English language and scientific writing skills, German is a big bonus

    OUR OFFER

    • We offer a fully paid research position
    • We expect you to work towards a PhD, which we will support
    • You will be part of an interdisciplinary team
    • We provide room to grow and to implement your ideas


    For further information please contact  Prof. Alexander Schlaefer (schlaefer@tuhh.de).


    We particularly encourage women to apply. Due to their underrepresentation, they will be given priority incases of equal suitability, qualifications and professional performance.

    Please send your complete application documents (cover letter, curriculum vitae in table form, proof ofcompleted training and/or university degree, job references or certificates of employment) via the online application system.

    We look forward to receiving your online application by June 20th 2023
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