Research Associate (m/f/d) at the Institute of Medical Technology and Intelligent Systems

Kurzbeschreibung

Research Associate (m/f/d) Institute Medical Technology and Intelligent Systems Remuneration EG 13 TV-L ID 26826WE1 Start of employment as soon as possible Application deadline November 27th, 2026 Scope fulltime, fixed-term for a period of 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 guidance, and treatment planning. In an ongoing project with international partners, we establish and evaluate AI methods for medical image processing. Particularly, we study deep learning and computer vision, e.g., for ultrasound imaging and image guidance. We expect candidates to be interested in obtaining a PhD. YOUR TASKS • Knowledge transfer within an international AI project • Developing as well as evaluating deep learning methods, e.g., for ultrasound image processing • Designing and evaluating methods for image guidance, including vision language models • Systematic 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 (masters degree Master’s degree with excellent grades or equivalent), in particular in the subject 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 and VLMs • Very good understanding of medical imaging and image processing, particularly ultrasound imaging • Excellent English language and scientific writing skills are required (at least C1), German is a plus OUR OFFER • Support for further academic qualification, including the opportunity to pursue a PhD • A fully paid research position • 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. Note regarding the Standard Enquiry under Section 34a of the Hamburg Security Clearance Act: The department will submit an enquiry to the State Office for the Protection of the Constitution regarding any information it holds on the person selected in the recruitment process, provided that the legal requirements are met (information on the Standard Inquiry and data protection notices). For further information please contact Prof. 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 TU Hamburg stands for equal opportunities as well as appreciative and respectful cooperation. Notice for severely disabled persons and people with equal status. 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 exclusively.

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