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

Institute of  Medical Technology and Intelligent Systems
Remuneration EG 13  TV-L 
Start of employment earliest possible date
Application deadline January 10th 2025
Scope full time and limited to four 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 european partners we are developing sustainable AI methods for healthcare. One focus will be on optimization and treatment planning, e.g., for medical robots.

YOUR TASKS

• Developing optimization and planning methods for medical robots, e.g., optimized motion planning
  
• Collaborating with partners from clinics, industry and academia
  
• Systematic experimental evaluations
  
• Presentation of your results at top-tier international conferences and publication in high-ranking journals
  
• Contributing to a new research center on AI in healthcare
  

YOUR PROFILE

Requirements

• Completed scientific university studies, in particular in the subject computer science, engineering, applied math, or related fields
  

Required knowledge and personal skills

• Excellent knowledge of recent machine learning methods and frameworks
  
• Very good understanding of optimization and solvers, particularly for constraint optimization
  
• Excellent English language (C1 GER) and scientific writing skills are required, German is a plus
• Very good programming skills, particularly in Java, Python and C++ are a strong plus
  

OUR OFFER

• Outside of duties we offer the opportunity to obtain a PhD in addition to the project duties
  
• 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 robotics and 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. +49 40 428 78 30 50, Email: schlaefer@tuhh.de