We currently have an opening for a postdoctoral scholar in computational/theoretical neuroscience. This researcher will work with an international NeuroNex consortium studying the genetic, cellular, and network basis of working memory. The project will incorporate analysis of multichannel neural data and computational models ranging from single neurons to spiking neural networks and (un)supervised learning algorithms. The researcher will work within a dynamic team and with data at multiple scales (transcriptomics, intracellular patch clamp, and extracellular spiking data).
We currently have openings for graduate research positions in computational/theoretical neuroscience in the group of Lyle Muller at the Department of Applied Mathematics and the Brain and Mind Institute of Western University (London, Ontario). Projects will focus on new computer vision algorithms for neural data, network models, and computation with spatiotemporal dynamics in neural systems. Analysis, modeling, and theory will be conducted in close collaboration with experimental colleagues, including multi-site recordings in NHP (John Reynolds, Salk Institute; Julio Martinez-Trujillo, Western) and human clinical intracranial recordings (London Health Sciences Centre). Potential students can apply through the programs in Applied Mathematics or Neuroscience.