Postdoctoral Researcher and Coordinator of Carl-Zeiss-Project (m/f/d, E13 TV-L, 100%)

About the Project

The University of Tübingen is a leading institute for research in artificial intelligence. It has an excellent research infrastructure, while the University Hospital Tübingen offers a combination of high-performance medicine and strong research. 

The goal of the Carl Zeiss Project “Certification and Foundations of Safe Machine Learning Systems in Healthcare” is to enable the beneficial use of ML in healthcare through research into the foundations of safe ML systems and the development of protocols and automatic tools for their certification

Tasks and responsiblities:

• Research in an area of safe machine learning and/or applications in healthcare

• Management of a team of PhD students, postdocs, and software developers

• Coordination of the implementation of research prototypes in different healthcare domains in our “AI Safety Test Bench”

• Coordination with project partners

• The position is limited to 3 years

Your Profile 

• PhD degree in computer science or a related field

• Research profile in machine learning (e.g. robustness, out-of-distribution/anomaly detection, fairness, explainability, uncertainty quantification) or AI applications in the healthcare domain

• Interest in safe machine learning and its certification, and implementation of regulation frameworks like the EU AI Act, General Data Protection Regulation (GDPR) and the Medical Devices Regulation (MDR)

• Very good coding skills, experience in managing and development of software projects is a plus

Your Application

Please send your application (including a motivation letter, your CV, up to two representative publications, and the contact information of two referees as a single PDF) to Patrizia Balloch at  safe-ml-sys@inf.uni-tuebingen.de. 

The deadline for applications is June 13th, 2025.

For further information about the position contact Prof. Matthias Hein at matthias.hein@uni-tuebingen.de