PhD Student IT, Mathematics, Data Science - Image Analysis, Machine Learning (m/f/d)

The Leibniz-Institut für Analytische Wissenschaften - ISAS - e. V. develops efficient analytical methods for health research. Thus, it contributes to the improvement of the prevention, early diagnosis, and therapy of diseases like cardiovascular diseases, autoimmune diseases or cancer. Overall, the institute strives to advance precision medicine by combining knowledge from different fields such as biology, chemistry, pharmacology, physics, and computer science. ISAS is a member of the Leibniz Association and is publicly funded by the Federal Republic of Germany and its federal states. A new project area in the institute is the development of artificial intelligence (AI) software for topology-informed biomedical image analysis and large foundation models. PhD Candidate (m/f/d): Analysis of Microscopic BIOMedical Images (AMBIOM) Activities and responsibilities Develop new machine learning algorithms for microscopy image analysis problems (2D/3D/4D/5D), which are driven by real applications in life science research Develop solutions to integrate large foundation models into microscopy image analysis and analytical data analysis workflows, together with other team members Implement AI-based microscopy image analysis software as python packages Develop algorithms to integrate topology constraints in AI models Report findings and methods in conference and journal papers Qualification profile Masters, Diploma or equivalent degree in IT/computer science/statistics/applied mathematics/data science/biomedical engineering or of relevant scientific field A solid background in machine learning Extensive experience with either computer vision or image analysis Good knowledge of deep learning packages, PyTorch Familiar with foundation models (vision large models or multi-modal large language models) Basic knowledge of topology concepts Good presentation and writing skills Proactive, independent, and solution-oriented way of working Fluent English (spoken and written) Publications at top-tier computer vision conference or journals is a plus Experience with open-source software development is a plus We offer A clear research topic as well as multifold training and support for PhD students in framework of ISAS and the Leibniz association Training and scientific development opportunities in an international environment and an excellent working atmosphere in a very dynamic and professional team Extensive state-of-the-art equipment and infrastructure in various analytical methods The opportunity to present your data on international conferences and participate in workshops A wide range of opportunities for further training and qualifications Flexible working times, mobile working and attractive social benefits Support in finding balance between work and family life (including finding childcare facilities, advice on caring for relatives) through a family service Workplace health promotion and support for participation in TU Dortmund University sports activities