MEDIUM confidence
Researched 2026-08-04 20:45 · profile: researcher
Programme Thesis
The CIFAR Azrieli Global Scholars program funds early-career researchers with $100,000 CAD in undesignated support and a two-year appointment to a CIFAR research program, aiming to build their networks and leadership skills while advancing interdisciplinary research on complex global challenges.
Selection Criteria
- Hold a PhD or equivalent degree and be within first five years of a full-time academic research and teaching appointment.
- Research must align with themes of an eligible CIFAR research program (e.g., Brain, Mind & Consciousness; Learning in Machines & Brains; Molecular Architecture of Life).
- Three letters of recommendation, at least one from a faculty member or equivalent, preferably one from a non-academic leader.
- Application answers on: research complementarity to the chosen CIFAR program, collaboration ideas with fellows, leadership experience, and engagement with non-academic communities.
- Emphasis on interdisciplinary fit, potential for collaboration, and leadership potential.
Past Winners / Cohort Profiles
Past cohorts include early-career researchers from diverse disciplines (e.g., neuroscience, computer science, biology) who are within five years of their first academic appointment. Named examples are not provided on the page, but typical winners are postdocs or assistant professors with strong publication records and clear interdisciplinary alignment with CIFAR programs.
Ideal Candidate Fingerprint
The ideal applicant is an early-career researcher (within 5 years of PhD) with a strong interdisciplinary research agenda that directly complements one of CIFAR's programs, demonstrated leadership potential, and a clear vision for collaboration with CIFAR fellows. They should have a track record of innovative research and a commitment to engaging with non-academic communities.
Recommended Framing
For Eniola, the strongest angle is to frame the CCT model as the core research line, aligning with the 'Brain, Mind & Consciousness' or 'Learning in Machines & Brains' program. The CCT model's integration of computational neuroscience, pharmacology, and dynamical systems directly matches CIFAR's interdisciplinary focus, and its pre-registered, Bayesian-calibrated approach demonstrates rigorous, innovative research. Emphasize how CCT could benefit from collaboration with CIFAR fellows like Kent Berridge or Samuel Gershman, and highlight Eniola's leadership in independent research and open-science practices.
Watch Out
Eligibility concern: The program requires a PhD or equivalent degree and being within the first five years of a full-time academic appointment. Eniola has a B.Pharm and is enrolled in an M.Sc., not a PhD, and is an independent researcher without a full-time academic appointment. This may make them ineligible unless 'equivalent degree' is interpreted broadly (e.g., professional doctorate) and independent research counts as equivalent experience. Also, the program's themes are from 2016; current themes may differ, so alignment must be checked.