Jed O. Kaplan
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PhD Positions in Boreal Forest Fire Modeling and Peatland Wildfire Dynamics at University of Calgary University of Calgary in Canada
I am recruiting fully funded PhD students in boreal forest wildfire and peatland modeling at the University of Calgary.
University of Calgary
Canada
Jan 15, 2026
Keywords
Description
The University of Calgary is offering two fully funded PhD positions in the Department of Earth, Energy, and Environment, focusing on large-scale ecosystem modeling of the boreal forests of eastern Canada. The research themes include modeling boreal forest fire regimes, ecosystem resilience under climate change, and peatland wildfire dynamics. These projects are part of the Wildfire Resilient Futures Initiative, funded by Natural Resources Canada and led by the Ontario Forest Research Institute, with collaborations extending to Lund University, Sweden.
Successful candidates will join Professor Jed O. Kaplan’s multidisciplinary research group and will be based full-time in Calgary, Alberta, Canada. The research will involve the development and application of computer-based models to investigate vegetation-fire-insect interactions and peatland-wildfire dynamics. Tasks include model development, data assembly and management, experimental design, and analysis and visualization of model outputs. The work is primarily desk-based but may include field visits in Ontario and opportunities to collaborate with partners in Canada and overseas.
Applicants should have a strong background in computer simulation and programming (R, Python, C++, Fortran, etc.), quantitative and data analysis skills, and fluency in English. Preferred qualifications include a Master’s degree in a STEM field or significant research experience, coursework in ecology, climate science, global change biology, or geography, and skills in GIS and scientific programming. Applicants whose first language is not English must provide IELTS (Academic), TOEFL, or equivalent language test results.
The positions offer a minimum annual stipend of CAD $34,500 for three years, with potential for additional scholarships and support for travel, conferences, and research expenses. The application deadline for full consideration is January 15, 2026, and the start date can be as early as March 1, 2026, subject to arrangement. To apply, submit a single PDF containing a one-page statement of research interests and experience, a short CV, university transcripts, and English language test results (if applicable) via the provided application link. Only shortlisted candidates will be contacted.
Keywords: boreal forest, wildfire, ecosystem modeling, peatland, climate change, vegetation modeling, computer simulation, ecology, data analysis, Canada.
Funding
The position includes a minimum annual stipend of CAD $34,500 for three years, which may be augmented with scholarships. Additional support is available for travel, conferences, and other research expenses. Funding is contingent on satisfactory progress and continued funding availability.
How to apply
Submit a single PDF containing a one-page statement of research interests and experience, a short CV with relevant skills, university transcripts, and English language test results (if applicable) via the provided application link. Review of applications begins January 15, 2026 and continues until filled. Only shortlisted candidates will be contacted.
Requirements
Applicants must have a strong commitment to learning computer simulation and programming in a high-level language (such as R, Python, C++, or Fortran), strong quantitative and data analysis skills, and fluency in English listening, reading, and writing. Preferred qualifications include a Master of Science in a STEM field or significant research experience leading to authorship on a publication, coursework in ecology, climate science, global change biology, geography, or related fields, skills in scientific computer programming and GIS, and demonstrated experience in both independent and team research work. Applicants whose first language is not English must provide IELTS (Academic), TOEFL, or equivalent language test results.
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