Postdoctoral Researcher and Coordinator of Carl-Zeiss-Project "Certification and Foundations of Safe Machine Learning Systems in Healthcare" (m/f/d, E13 TV-L)
Uni-Tübingen
Postdoctoral Researcher and Coordinator of Carl-Zeiss-Project "Certification and Foundations of Safe Machine Learning Systems in Healthcare" (m/f/d, E13 TV-L)
Faculty of Science, Department of Computer Science
Bewerbungsfrist: 15.11.2024
The University of Tübingen is a leading place for research in artificial intelligence with excellent research infrastructure and 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 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 candidates, 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
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 spam prevention [at] inf.uni-tuebingen.de . The deadline for applications is November 15th, 2024.
For further information about the position contact Prof. Matthias Hein at matthias.hein spam prevention [at] uni-tuebingen.de- Computer Science - Informatique - Informatik
- Health - Santé - Gesundheit
- Reference: jobs.myscience.de/id201223