COMP Postdoctoral and Graduate Fellowship Program

One of the key goals of the Computational Core is to train the next generation of scientists with the analytical skills necessary for understanding the neural computations that support brain function. The Core therefore offers competitive fellowships in computational neuroscience for both postdoctoral and graduate trainees.

The next fellowship round will open November 1st, 2019 with a deadline of February 1st, 2020. Applicants will submit their application to the general BrainsCAN postdoctoral and graduate programs and indicate that they would like to be considered for the computational stream. More information on eligibility for the computational stream can be found below. More information on BrainsCAN’s mandate and on the application process is available at https://brainscan.uwo.ca/programs/index.html

For questions about the program, please contact Marieke Mur (mmur@uwo.ca).

Postdoctoral Fellowship

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 demonstrated research productivity 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.

Interested applicants should contact two 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 project. Projects that contribute to increasing diversity in neuroscience at Western University are encouraged. 

 

Graduate Studentship

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.

Interested applicants should contact two 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 project. Projects that contribute to increasing diversity in neuroscience at Western University are encouraged.