Research Associate AI, Computer Vision and Computational Neuropathology

Fixed-term contract for 3 years | Full-time, 38.5 hours per week | Salary according to TV-L E13 | Institute of Neuropathology We develop deep learning methods that improve the diagnostic yield of brain biopsies – ideally with you on board!

• Develop machine learning approaches for histological whole-slide image analysis, including weakly supervised classification using pathology foundation models and multiple instance learning (MIL)
• Build reproducible pipelines for image preprocessing, quality control and feature extraction
• Evaluate model robustness, bias and generalisation across centres, scanners and frozen sections, and apply interpretability methods
• Manage the digital pathology infrastructure of the institute (slide scanners, computing servers)
• Contribute to prospective observational evaluation, reproducible research software, scientific publications and conference presentations

• A Master's degree or equivalent qualification in computer science, data science, mathematics, bioinformatics or a related discipline
• Strong theoretical foundations in machine learning and computer vision
• Practical experience with Python programming and deep learning frameworks
• Interest in rigorous statistical evaluation and reproducible scientific research
• An independent and structured working approach, strong communication and teamwork skills, and enthusiasm for interdisciplinary research
• Good written and spoken English skills
• Experience with large image datasets, computational pathology, foundation models, multiple instance learning or image registration is an advantage