Postdoctoral Researcher and Coordinator of Carl-Zeiss-Project

Postdoctoral Researcher and Coordinator of Carl-Zeiss-Project

University of Tübingen

Tübingen, Germany

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 in the foundations of safe ML-systems and the development of protocols and automatic tools for their certification.

Tasks and responsibilities

• 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 our 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.

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