Internationally competitive salary and social benefits according to the rules of the University of Basel
Your position You will develop generative models on single-cell and spatial genomics data, from sequencing and imaging, and apply them to human developmental and disease biology. Possible research directions include: ? Generative models of cell–cell communication . Move beyond descriptive ligand–receptor analysis to models that predict and help understand how cells react to signaling cues. ? Joint models of regulation and dynamics . Flow- and diffusion-based models of cellular dynamics are expressive enough to map any source to any target state, but they fall short of learning the underlying regulatory principles. We work on regularization, training on time-resolved perturbation and lineage-tracing data, and multi-modal readouts to constrain these models toward biological mechanisms. ? Intervention design and continual learning . Beyond predicting perturbation outcomes: designing interventions that steer cells toward a desired molecular state, and updating trained models as new data arrive, toward a lab-in-the-loop setup. These directions build on our earlier work on cellular dynamics, regulation and data integration: scVelo, CellRank, CellRank 2, moslin, moscot and RegVelo. In collaboration with partners at the hospitals, universities and institutes in Basel, we generate our own data, on the newest spatial and single-cell platforms.
As a joint venture of the University of Basel and the University Hospitals Basel, the Department of Biomedicine (DBM) brings together basic and clinical scientists to advance the understanding of health and disease. We are home to more than 67 research groups and over 800 employees across six locations in the heart of Basel. Our collaborative and international environment fosters innovation, excellence, and impactful research. Join our community and help shape the future of biomedicine.
