Basel, Switzerland
Internship Explorer
Internship Explorer
The ML for Biosystems Engineering group led by Jonas Fleck at the Institute of Human Biology (IHB) in Basel, Switzerland is seeking a PhD student to develop machine learning methods for organoid phenotyping and high-throughput screening. Join our group and contribute to advancing the state of the art in computational methods for complex human model systems and drug discovery. The Opportunity You will lead and conduct a research project developing computational methods to address important challenges in organoid engineering and drug discovery. Working in a highly collaborative environment with outstanding computational and experimental scientists, you'll develop and apply state-of-the-art machine learning methods to tackle challenging questions in human biology and disease. You'll have the chance to work with rich, high-content datasets from complex human model systems, such as large-scale perturbation experiments with multi-modal readouts. In collaboration with experimental scientists at IHB, you will also have the opportunity to shape future experiments, enabling you to develop methods with direct translational impact. Possible research areas may include: Predictive ML methods for high-throughput perturbation screens in organoids. Multimodal integration methods and foundational models of imaging and genomics data for comprehensive organoid phenotyping. Predictive methods for cell fate engineering. Methods for causal and mechanism discovery from high-content perturbation experiments. Active learning strategies for iterative experimental design ("lab-in-the-loop"). Working in a fast-paced research environment bridging computational innovation and experimental biology, you will contribute to the advancement of next-generation human model systems for drug discovery. You'll publish your work, contribute to open-source tools used by the broader research community, and gain exposure to drug discovery and development processes while developing your skills as a computational researcher.
