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Research Associate (m/f/d) - 
Wissenschaftliche*r Mitarbeiter*in 

Institute Institute of Medical Technology and Intelligent Systems
Remuneration EG 13  TV-L 
ID: 35225WE1
Start of employment as soon as possible

Application deadline December 16th 2025 
Scope full time and for a maximum of four years

Our institute has a long standing track record developing AI methods for medicine. We are particularly interested in machine learning, medical robotics and navigation, image guidedance, and treatment planning. In a new project we will study a novel platform for autonmous diagnosis. The work will involve developing a mobile robot for clinical setting as well as processing point cloud data and medical ultrasound imaging for navigation. Development and evaluation will be done in close cooperation with clinical partners and involving real tissue. All tasks have a research context and we expect candidates to be interested in obtaining a PhD.

YOUR TASKS

  • Developing and evaluating deep learning methods for image processing, particularly to localize lesions
  • Designing and evaluating a novel mobile platform for autonomous navigation in clinical settings
  • Collaborating with clinical partners, supporting the pre-clinical evaluation of the system
  • ystematic experimental evaluations, including in the clinics and on realistic data
  • Presentation of your results at top-tier international conferences and publication in high-ranking journals

YOUR PROFILE

Requirements

  • Completed scientific university studies, in particular in the subject of computer science or related fields (e.g., engineering, applied math)

Desired knowledge and personal skills

  • Very good programming skills, particularly in Python and C++
  • Excellent knowledge of recent machine learning methods and frameworks, particularly for computer vision, experience with AR/VR is a plus
  • Very good understanding of ROS and robotics, including articulated arms and mobile platforms
  • Excellent English language and scientific writing skills are required (at least C1), German is a plus

    OUR OFFER

    • We offer a fully paid research position (100% TV-L E13) 
    • In addition to the project duties we offer the opportunity to obtain a PhD 
    • You will be part of an interdisciplinary team and collaborate with academic and clinical partners
    • You will work on state of the art AI methods with a meaningful purpose 
    • We provide room to grow and to implement your ideas


    At the heart of TU Hamburg’s research, teaching and transfer of technology is the guiding principle of developing technology for people. The TU Hamburg sees itself in this context as a family-friendly and sustainable university with high performance and quality standards that strives for excellence in all its research fields. Interdisciplinarity, innovation, regionality and internationality are binding principles in our actions.

    With currently around 8.000 students, 110 professors and 1.650 employees, the TU Hamburg is characterised by short decision-making processes and close cooperation between the board, the institutes, the deans of studies, the research areas and the administration. We identify ourselves with a modern leadership culture and cultivate appreciative interaction.


    For further information please contact Prof. Dr. Alexander Schlaefer, Tel.-Nr. +49 40 30601 3050, Email: schlaefer@tuhh.de.


    We value diversity, therefore all applications are welcome, regardless of gender, gender identity, ethnic origin, nationality, age, religion and belief, disability, sexual orientation and identity or social background.

    The TUHH stands for equal opportunities as well as appreciative and respectful cooperation.

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

    Notice for severely disabled persons and people with equal status.

    Notice for graduates of foreign educational qualifications:
    Please submit proof of all obtained university degrees and, if available, the recognition of your educational qualifications in Germany (e.g. anabin excerpts and/or acknowledgement of previous employers).