The MODAL research campus ("Mathematical Optimisation and Data Analysis Laboratories") researches and applies modern mathematical methods and data-driven approaches to develop innovative decision support systems. The aim is to develop solutions for key social challenges in areas such as sustainable energy supply, personalised medicine, and networked mobility.
Within the MODAL campus, the MedLab focuses on the development and validation of AI-supported methods for the analysis of biomedical data and the secure integration of AI technologies into clinical and biotechnological applications. A central focus is the development of a platform for the validation of AI applications in healthcare, which ensures the safety and transparency of AI-based systems through advanced monitoring and evaluation mechanisms.

Job description:
• Research and development in the field of AI-supported analysis of biomedical data
• Implementation and evaluation of methods for AI validation and model interpretability
• Contribution to the development of a platform for monitoring and documenting AI applications
• Collaboration with academic and industrial partners in the MODAL research campus
• Publication of research results in scientific journals

The position offers the opportunity to pursue a doctorate as part of the project and a corresponding extension of the contract duration.

Requirements:
Completed academic university degree (Master’s, Diploma) in a scientific subject (e. g. Mathematics, Computer Science, Physics, Bioinformatics, Data Science, or related fields)

Desirable:
• Excellent programming skills in Python
• Experience with machine learning frameworks (e. g. TensorFlow, PyTorch) and Explainable AI (XAI)
• Experience with machine learning and/or AI-based methods for data analysis
• Experience in processing and analyzing biomedical data, especially time series data
• Experience in the field of high-performance computing
• Knowledge of validation and documentation of AI systems, especially in healthcare
• Strong teamwork skills, initiative, and motivation
• Very good English skills, both written and spoken

For further information, please contact Dr. Tim Conrad (conrad@zib.de ).