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NSERC · CA · NSERC / Tri-Agency

Collaborative Research and Training Experience program

The Collaborative Research and Training Experience (CREATE) program supports the training and mentoring of highly qualified students and postdoctoral researchers through innovative training programs that encourage collaborative and integrative approaches, facilitate the transition of new researchers to productive employees, and foster professional skills development. It promotes student mobility, interdisciplinary research, and collaboration between academic and non-academic sectors. The program offers regular and international streams, with a specific call for quantum-related initiatives under the Defence Industrial Strategy.

Up to CA$1,650,000 ~72 months Deadline 2026-09-22
Host country

CA ↗

Mobility

Required ↗

Full eligibility text

Applicants must hold an eligible full-time position at an NSERC-eligible Canadian university and be from a natural sciences and engineering (NSE) field. Co-applicants must include at least one from each participating university, with at least 70% from NSE. Researchers can participate in a maximum of two CREATE grants/LOIs at a time, with a maximum of one as lead applicant.

Deadline

2026-09-22

Form workload

4 form file(s) downloaded; 10 writing prompts; 24 fields/sections; moderate — substantial written sections

Curated data & sources

Where each item on this page was read from, so every claim can be verified against the original. “Official ↗” opens the funder page the value came from; anything we could not reach or parse is listed under Not captured / obstacles below.

Curated itemValue in this recordSource
Funding agency NSERC Official page ↗
Country / funding source CA · NSERC / Tri-Agency Official page ↗
Deadline 2026-09-22 — LLM-checked against the archived official page Official page ↗
Funding amount Up to CA$1,650,000 Official page ↗
Eligibility 3 structured dimensions — see the eligibility panel above Official page ↗

Pages & application forms captured

Not captured / obstacles

Data is collected from official funder pages only. Figures are machine-curated (rule + LLM where noted) and should be re-verified on the linked source before use.