The Flatiron Research Fellow will report to the Group Leader for Neuroscience. The Flatiron Research Fellow will be responsible for research on the modeling of neuronal dynamics including the development of algorithms and software, as well as other potential data-intensive computing projects in the Flatiron Institute's Center for Computational Biology.
The Flatiron Research Fellow will develop algorithms for analyzing high-dimensional datasets of brain activity obtained experimentally, for example, via multi-neuronal calcium imaging, Specifically, work on neural dimensionality reduction, i.e. extracting a low-dimensional neural subspace that captures much of the observed variance will be required. The Flatiron Research Fellow will explore methods for inferring synaptic connectivity from large-scale calcium imaging and will develop methods that scale favorably with the number of dimensions and avoid the trap of overfitting. Furthermore, the Flatiron Research Fellow will work in collaboration with experimentalists and theorists on the interpretation of these datasets - in particular, the exploration of whether neuronal computation can be modeled by nonnegative matrix factorization.
This position will be based, and have a principle office or workspace, at the foundation.
The Simons Foundation is an Equal Opportunity Employer, M/F/D/V.