Research Associate / Wissenschaftliche*r Mitarbeiter*in at the Institute of Medical Technology [...]

Technische Universität Hamburg; Hamburg; Vor Ort; EUR 50.000 - 65.000; Vollzeit

Zusammenfassung

A leading technical university in Germany seeks a Research Associate to work on AI methods for medicine, focusing on deep learning and image processing. Candidates will collaborate with clinical partners and have the chance to pursue a PhD while working on innovative projects. Excellent programming skills in Python and C++ are essential, along with a strong understanding of machine learning. This full-time role offers a fully paid research position for up to three years.

Leistungen

PhD opportunity

Interdisciplinary team collaboration

Work on state-of-the-art AI methods

Room to grow and implement ideas

Qualifikationen

• Interest in obtaining a PhD.
• Experience with deep learning methods for image processing.
• Collaboration with clinical partners.

Aufgaben

• Develop and evaluate deep learning methods for image processing.
• Implement interfaces to a robot and visualization environment.
• Collaborate with partners for pre-clinical evaluation.
• Conduct systematic experimental evaluations.
• Present results at international conferences.

Kenntnisse

Programming in Python

Programming in C++

Machine Learning methods

Medical Imaging knowledge

AR/VR experience

English (C1 level)

German language

Ausbildung

Completed scientific university studies in computer science or related fields

Jobbeschreibung

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

Institute: Institute of Medical Technology and Intelligent Systems

Remuneration: EG 13 TV-L

ID: 34925WE1

Start of employment: as soon as possible

Application deadline: December 11th 2025

Scope: full time and for a maximum 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 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. The project has 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 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 at 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

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

Required 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

• 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.-Ing. Alexander Schlaefer, Tel.-Nr. [phone], Email: [e-mail].

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).