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Seeking individuals to help develop a standardized format for exchanging computational models

An NSF-funded multi-investigator collaboration is seeking individuals to help develop a standardized format for exchanging computational models among neuroscience, cognitive science and machine learning. The project was recently funded by NSF’s Convergence Accelerator Program, and involves Princeton Neuroscience Institute; The University of Texas at Austin; University College London; Yale Computer Science Department; and Intel Labs in collaboration with members of the broader community.

We seek individuals who have considerable experience in computational modeling in cognitive science, neuroscience, and/or machine learning. Preference is for individuals with a PhD in a relevant discipline (Neuroscience, Cognitive Psychology and/or Computer Science), but others with sufficient demonstrated experience will be considered. Experience in Python is necessary, and experience in one or more existing modeling environments (e.g., NEURON, The Virtual Brain, NeuroML, Emergent, Nengo, ACT-R, PyTorch and/or TensorFlow) is preferred. Involvement can be remote. Interested individuals should contact Nichol Killian (nk3954@princeton.edu) or Edwin Clayton (ec12@princeton.edu). Please include a brief overview of background in the specific areas (CV attachments are welcome).