Research Associate
(m/f/d) /
Wissenschaftlicher Mitarbeiterin (m/w/d)
InstituteInstitute of
Medical Technology and Intelligent Systems
RemunerationEG 13 TV-L
ID: 26025WE1
Start of employment as soon as possible
Application deadline October 2nd 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 clinics, supporting the 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
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
* Excellent English language and scientific writing skills are required (at least C1 GeR), German is a plus
OUR 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.-Ing. Alexander Schlaefer, Tel.-Nr.
, 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.
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 ofcompleted 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).
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