We are looking for talented postdoctoral fellows and PhD students. Please email your CV to firstname.lastname@example.org if you are interested.
- We are looking for a neuroscience/psychology postdoc to apply machine learning algorithms (possibly developed by our lab) to discover and understand brain network organization in healthy individuals and/or mental disorder subtypes from existing large-scale public databases. See recent examples from our lab (http://www.pnas.org/content/113/42/E6535 and http://www.pnas.org/content/112/49/E6798). Candidate should have a Ph.D. in neuroscience, psychology or related fields. Programming experience is required. He or she does NOT need to code a new algorithm, but must be able to apply existing code (or modify existing code) for his or her project.
- We are looking for a machine learning postdoc to develop machine learning algorithms for large-scale publicly available MRI and behavioral data. Experience with probabilistic machine learning (aka graphical models) or deep learning is a plus. The ultimate goal is automatic scientific discovery (see recent paper from our lab: http://www.pnas.org/content/113/42/E6535). Topics are flexible, e.g., multi-modal fusion, individual-subject brain parcellation, individual subject behavior prediction, dynamic functional connectivity, meta-analysis, neural mass modeling, multi-scale neuroscience, graph theory, mental disorder subtypes, etc. Candidate should have a Ph.D. in computer science, electrical engineering, statistics, computational neuroscience or related fields.