Research Associate (m/f/d)

Research Associate (m/f/d)

Institute: Medical Technology and Intelligent Systems

Remuneration: EG 13 TV-L

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

For further information please contact Prof. Alexander Schlaefer, Tel.-Nr. +49 40 30601 3050, Email: Jetzt bewerben.