The Computational Brain Science group has a strong commitment to postdoctoral research and training. The program fosters a rich environment for learning and collaboration across disciplines. Postdoctoral scholars have a unique opportunity to work across labs and build their independent careers.
Applicants may inquire regarding current opportunities by contacting faculty members directly with a statement of research and CV.
BrainsCAN Computational Postdoctoral Fellowships
Through BrainsCAN funding, we offer a competitive postdoctoral fellowship program in computational neuroscience. Interested applicants should contact one or more principal investigators at Western University whose combined expertise covers the spectrum of computation and neuroscience, and who can serve as co-advisors on the proposed research project. Projects that contribute to increasing diversity in neuroscience at Western University are encouraged. An overview of neuroscience-related principal investigators can be found here with the core computational neuroscience labs here.
Please send a single PDF file entitled <LastName>_<FirstName>.pdf to the principal investigator(s) you hope to work with, containing:
- a CV
- a short research statement (max. 2 pages) outlining your research interest and how it fits with ongoing work in the lab
- the name and contact information of 2 academic references
Contact individual principal investigators as soon as possible, but no later than January 10. The deadline for the postdoctoral fellowship application is February 1, 2022.
For questions about the program, please contact Marieke Mur.
Research project and background
Applicants will propose a research project in computational neuroscience. Suitable projects include, but are not limited to, developing novel methods for neural data analysis, modeling of dynamical systems, and applying machine learning techniques to neuroimaging data in innovative ways. In general, projects should harness computational techniques to provide novel neuroscientific insights.
Applicants with a background in both computational fields and neuroscience are preferred. If the applicant has a background in only one of these disciplines, their research proposal and training expectations should clearly explain their motivation and preparation to transition into computational neuroscience. Applications from researchers who are transitioning from graduate work in the physical, mathematical, engineering, or computational sciences into computational neuroscience are encouraged.