Machine Learning in Science
Our goal is to accelerate scientific discovery using machine learning and artificial intelligence: We want to develop computational methods that help scientists interpret empirical data and use them to discover and constrain theoretical models. To this end, we collaborate with experimental researchers from various disciplines. We are particularly interested in applications in the neurosciences: We want to understand how neuronal networks in the brain process sensory information and control intelligent behaviour, and to develop methods for the diagnosis and therapy of neuronal dysfunction.
You can find more details about our group here.
Potential openings for Postdoc, PhD students, as well as for B.Sc. and M.Sc. students are advertised here.