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Robert Froese

Top university

4 days ago

Postdoctoral Position in Forest Growth & Yield Modeling at University of Alberta University of Alberta in Canada

Degree Level

Postdoc

Field of study

Data Science

Funding

The position offers a competitive stipend and is renewable annually for up to three years. The project is supported by partnerships with the forest industry and government agencies. Specific stipend amounts are not mentioned.

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Country

Canada

University

University of Alberta

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Keywords

Data Science
Environmental Science
Remote Sensing
Forestry

About this position

The Forest Growth & Yield Lab at the University of Alberta is offering a postdoctoral position focused on developing advanced forest simulation models for the western Boreal and Rocky Mountain forest regions. This ambitious 8-year project is supported by extensive partnerships with the forest industry and the governments of Alberta and Saskatchewan, providing a collaborative and impactful research environment. The position is based in Edmonton, Alberta, Canada, and is renewable annually for up to three years, with a competitive stipend.

Applicants should hold a PhD in forestry, forest science, or a closely related field, awarded within the past five years. Essential qualifications include prior research in forest growth and yield or quantitative silviculture, proficiency in data science using R, SAS, Python, or SQL, and experience with geospatial technologies. A strong interest in remote sensing and a track record of publication in peer-reviewed literature are highly valued. The lab's research integrates forest modeling, data science, and environmental science, making it ideal for candidates interested in forest ecosystems, simulation, and quantitative analysis.

Applications are accepted exclusively through the University of Alberta's official portal. Review of applications will begin in March. For more information or to apply, visit the provided application link. This is an excellent opportunity for postdoctoral scholars seeking to advance their careers in forest growth, yield modeling, and environmental science within a leading Canadian research institution.

Funding details

The position offers a competitive stipend and is renewable annually for up to three years. The project is supported by partnerships with the forest industry and government agencies. Specific stipend amounts are not mentioned.

What's required

Applicants must have a PhD in forestry, forest science, or a very closely related field obtained within the past 5 years. Prior research experience in forest growth and yield or quantitative silviculture is required. Candidates must be proficient in data science using R, SAS, Python, or SQL, and have proficiency in geospatial technologies and a strong interest in remote sensing. Experience with publication in peer-reviewed literature is preferred.

How to apply

Applications are accepted only through the official University of Alberta portal. Review of applications will commence in March. Visit the provided application link for more information and to apply.

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