Institute for RemunerationEG 13 ID: 3126WE1 Start of employment: 01.04.2026 Application deadline 09.02.2026 Scope full time and fixed-Term until three 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 project with clinical partners we are developing an AI based system for guiding robotic surgery. The focus will be on deep learning methods for image processing and tumor localization using robotic instruments. We will develop a prototypical software for 3D visualization of the surgical scene.

YOUR TASKS

Developing and evaluating deep learning methods for image processing, particularly to identify tissue and instrument motion
Implementing interfaces to a robot and a 3D visualization environment, navigating the surgeons to the target
Collaborating with different partners, including a clinic, supporting the pre-clinical evaluation of the system
Systematic experimental evaluations, including 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 Computer Science or related fields

Desired knowledge and personal skills

Very good programming skills, particularly in Python and C++
Excellent knowledge of recent machine learning methods and frameworks
Very good understanding of medical imaging and image processing as well as robotics, experience with AR/VR is a plus
Excellent English language and scientific writing skills are required (at least C1), German is a plus

OUR OFFER

Outside of duties, further scientific training is possible, the results can be used for a dissertation
Interdisciplinary team and collaborate with academic and clinical partners
Work on state of the art AI methods with a meaningful purpose
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. Schläfer, Tel.-Nr. +49 40 30601 3050, Email: .

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.

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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 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).