Postdocs - Cognitive Neuroscience, Mouse Models
Posted 29 May 2019
London, Ontario, Canada
Lisa Saksida and Tim Bussey
Please send a statement of interest, Curriculum Vitae, and the names of at least two references to: Dr. Lisa Saksida & Dr. Tim Bussey, Robarts Research Institute, University of Western Ontario, Email: firstname.lastname@example.org.
TCNLab: http://www.tcnlab.uwo.ca @TCNLab
BrainsCAN: https://brainscan.uwo.ca/ @Brains_CAN
Touchscreens: https://touchscreencognition.org/ @TouchScreenCog
Two postdoctoral positions are available immediately under the supervision of Lisa Saksida and Tim Bussey at the Robarts Research Institute, Schulich School of Medicine & Dentistry, University of Western Ontario. The positions will focus on questions related to molecular and cellular mechanisms of information storage mainly in the hippocampus. The project will involve recording neuronal activity using miniscopes and fibre photometry, manipulating circuits with DREADDs and optogenetics, and integrating these techniques with sophisticated analysis of high-level cognition.
Cognitive neuroscience in health and disease is a major research focus at Western, which is currently supported by BrainsCAN, a $66 million Canada First Research Excellence Fund grant awarded to Western in 2016. The Robarts Research Institute and the Brain and Mind Institute together create a vibrant neuroscience research community with many opportunities for collaborations.
Western is committed to employment equity and diversity in the workplace and welcomes applications from women, members of racialized groups/visible minorities, Aboriginal persons, persons with disabilities, persons of any sexual orientation, and persons of any gender identity or gender expression.
Salary will be commensurate with experience.
Qualified applicants should have a Ph.D. degree in neuroscience or related disciplines with significant expertise in studying mouse models.
Prior experience in mouse surgery, fibre photometry, optogenetics, DREADDs, in vivo electrophysiology, data analysis using MATLAB, Python and/or R, documented in peer-reviewed publications will be an asset. Applicants should be highly motivated and within two years of receiving a Ph.D.