The Neural Data Science group led by Alexander Ecker works at the interface of machine learning and computational neuroscience. We develop new methods and algorithms to make sense of large-scale neuroscience data. Moreover, we work on novel approaches to computer vision based on insights we gain from biological vision.
Currently, the Neural Data Science Group has 7 PhD students and 1 postdocs.
Data Science is a highly collaborative endeavour. We work closely with a number of labs in Göttingen, Germany and the United States: Fabian Sinz (Uni Göttingen), Andreas Tolias (Baylor College of Medicine; Houston, TX, USA), Thomas Euler (University of Tübingen), Tim Gollisch (University Medical Center, Göttingen), Christoph Kleinn (Uni Göttingen), Eberhard Bodenschatz (MPI for Dynamics and Self-Organization, Göttingen), Viola Priesemann (MPI for Dynamics and Self-Organization, Göttingen), Michael Wibral (Uni Göttingen), Michael Wilczek (Uni Bayreuth).
Workshop “Current Topics in Neural Data Science”
From August 16th to August 19th 2022, the neural data science group organizes the “Current Topics in Neural Data Science” workshop.
We are hiring!
We are currently looking for several postdocs or PhD students. Check out the applications page for details on projects and how to apply.