Assistant or Associate Professor in Neuroscience


University of Manitoba
Department of Computer Science

Departments of Biological Sciences and Computer Science

Faculty of Science

University of Manitoba

Winnipeg, Manitoba, Canada

Assistant or Associate Professor in Neuroscience

Position #: 26017

The Departments of Biological Sciences and Computer Science invite applications for a full-time tenure-track or tenure position, commencing 1 July 2020, or on a date mutually agreed upon. The Departments seek an emerging scholar as an assistant professor with a commitment to excellence in teaching and research. Excellent candidates at any level will be considered. The ideal candidate will be an energetic, interdisciplinary, and visionary early career scholar committed to the study of Neuroscience and Cognition preferably with a research program that uses computational methods and theory. The successful candidate will hold a Ph.D. and preferably post-doctoral experience or other distinguishing attributes in Biology, Computer Science, Psychology, Neuroscience or Neurobiology or a related field. The successful candidate will carry out research and develop a competitive research program that emphasizes mechanistic, comparative, or evolutionary aspects of the neurophysiology, molecular, or cognitive processes underlying behaviour. Candidates working with a range of experimental systems, including model organisms are welcome to apply. Preference will be given to candidates with a bioinformatics, computational or “big data” focus on neurobiology. The successful candidate will have their home department in either Biological Sciences or Computer Science. Duties will include meaningful contributions to the research, teaching and service activities of both Departments. The successful candidate will have a track record of high quality scholarly research leading to peer assessed publications; will either have, or demonstrate the potential to establish, an independent, innovative, scholarly, externally fundable research program; will have demonstrated strength in or strong potential for outstanding teaching contributions; and will exhibit evidence of the ability to work in a collaborative environment. Salary and rank will be commensurate with experience and qualifications.

For more details and how to apply, please visit:

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