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

Tender ID: 18625WE1
Institute The Institute of Medical Technology and Intelligent Systems
Remuneration EG 13  TV-L 
Start of employment October 1st 2025
Application deadline Jul< 9th 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 detecting laryngeal cancer. The focus will be on deep learning methods for image classification and segmentation, and we will develop a clinical grade software for guiding physicians. The project has a research context and we expect candidates to be interested in obtaining a PhD.

YOUR TASKS

• Developing and evaluation deep learning methods for image processing, particularly detection and segmentation of lesions
  
• Implementation of an AI-based software to guide physicians
  
• Collaborating with partners from different clinics, supporting a clinical study evaluating the AI system
  
• Systematic experimental evaluations, e.g., on real patient 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 field
  

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
• Excellent English language and scientific writing skills are required (at least C1), German is a plus
  

OUR OFFER

• We 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. +49 40 42878 3050, Email: schlaefer@tuhh.de