Research Associate (m/f/d) at the Institute of Medical Technol...

Research Associate (m/f/d)

Institute [Medical Technology and Intelligent Systems](https://mtec.et8.tuhh.de/)

Remuneration EG 13 [TV-L](https://oeffentlicher-dienst.info/c/t/rechner/tv-l/allg?id=tv-l-2026&matrix=1)[](https://t1p.de/wn3d9)

ID 26926WE1

Start of employment as soon as possible

Application deadline December 11th, 2026

Scope fulltime, fixed-term for a period of three years

Our institute has a long standing track record developing AI methods. We are particularly interested in machine learning, robotics and navigation, image guidance, and planning. In a new project we will study world modeling for autonomous mobile robots. We plan to consider methods to handle uncertainty and reinforcement learning to realize navigation in dynamic environments, including in the field. The methods will be evaluated in different application scenarios using different robots.

YOUR TASKS

• Studying methods for world modeling in dynamic, real world scenarios
• Extending and evaluating mobile robotics platforms for autonomous navigation
• Systematic experimental evaluation, e.g., in the field or in a hospital
• Presentation of your results at top-tier international conferences and publication in high-ranking journals

YOUR PROFILE

Requirements

• Completed scientific university studies (masters 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 as well as ROS
• Very good understanding of robotics, computer vision, and world modeling
• 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](https://www.hamburg.de/go/1192220) and [data protection notices](https://www.hamburg.de/go/1192218)).

# For further information please contact Prof. 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 TU Hamburg stands for [equal opportunities](https://www.tuhh.de/tuhh/tu-hamburg/struktur/personalrat-und-interessensvertretungen/gleichstellungsreferat) as well as [appreciative and respectful cooperation. Notice for severely disabled persons and people with equal status.](https://www.tuhh.de/gutes-miteinander/startseite/vereinbarung-miteinander)

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.