Postdoctoral Scholar in Forest Growth & Yield at the University of Alberta, Canada (2026)
The appointment is for three years, offers a competitive annual salary of CAD 70,000–75,000, and includes a comprehensive employee benefits package.
Position Overview
Position: Postdoctoral Scholar in Forest Growth & Yield
Institution: University of Alberta
Department: Faculty of Agricultural, Life & Environmental Sciences
Location: Edmonton, Alberta, Canada
Work Mode: On-site
Job Type: Full-time
Appointment Duration: Initial 3-year appointment
Salary: CAD 70,000–75,000 per year
Application Deadline: 27 July 2026
About the Research Project
The successful candidate will join the Forest Growth & Yield Lab to develop the next generation of forest growth and yield models for Canada's Western Boreal Forest and Rocky Mountain regions.
The project aims to improve forest dynamics models used in:
Sustainable forest management
Timber supply analysis
Climate adaptation planning
Forest succession studies
Silvicultural decision-making
Remote sensing integration
Researchers will work with long-term field observations, permanent sample plots, geospatial datasets, and remote sensing information to create practical modelling tools for operational forestry.
Research Areas
The project focuses on advancing predictive forest modelling by integrating:
Forest stand dynamics
Growth and yield modelling
Climate effects on forests
Silviculture
Ecological succession
Remote sensing
Geospatial analysis
Statistical modelling
Forest inventory
Sustainable forest management
Key Responsibilities
The selected postdoctoral researcher will:
Develop and improve forest growth and yield models.
Evaluate existing Canadian and international forest models.
Integrate remote sensing with permanent sample plot datasets.
Design reproducible modelling workflows.
Develop simulation-ready models for forest management.
Prepare technical reports and scientific publications.
Collaborate with government agencies and industry partners.
Support knowledge transfer activities.
Maintain high-quality coding and documentation practices.
Eligibility Criteria
Applicants should have:
A PhD awarded within the last five years in:
Forestry
Forest Science
Forest Biometrics
Quantitative Silviculture
Or a closely related discipline
Applicants should also demonstrate:
Strong quantitative modelling skills
Experience with statistical or mathematical models
Independent research ability
Excellent English communication skills
Scientific publication experience
Required Skills
The University is looking for candidates with experience in:
Forest growth and yield modelling
Statistical modelling
Forest stand dynamics
Forest inventory
Silviculture
R or Python programming
Reproducible scientific workflows
Examples of relevant modelling approaches include:
Non-linear mixed-effects models
Process-based models
Hybrid models
Non-parametric modelling
Preferred Qualifications
Preference will be given to applicants with experience in:
LiDAR data
Satellite remote sensing
Geospatial modelling
SQL or database management
Timber supply analysis
Canadian forestry systems
Large ecological datasets
Salary and Benefits
Successful applicants will receive:
Annual salary of CAD 70,000–75,000
Three-year appointment
Comprehensive University of Alberta benefits package
Access to world-class research facilities
Collaboration with government and industry partners
Opportunities for publication and professional development
Required Application Documents
Applicants should submit:
Cover Letter
Resume/CV
Applications must be submitted through the University of Alberta Careers Portal.
Important Dates
| Event | Date |
|---|---|
| Job Posted | 15 June 2026 |
| Application Deadline | 27 July 2026 |
| Position Type | Full-Time |
| Duration | 3 Years |
Official Application Link
Why Apply?
This position offers the opportunity to:
Develop operational forest models used in real-world management.
Work with advanced remote sensing and geospatial technologies.
Publish impactful research.
Collaborate with leading forestry scientists.
Contribute to sustainable forest management across Canada.
Gain experience with interdisciplinary environmental research.
Who Should Apply?
This position is ideal for researchers working in:
Forestry
Forest Biometrics
Forest Ecology
Silviculture
Environmental Science
Natural Resources
Geospatial Science
Remote Sensing
Quantitative Ecology
Ecological Modelling
About the University of Alberta
The University of Alberta is one of Canada's leading research-intensive universities. Located in Edmonton, Alberta, it is home to more than 40,000 students, over 14,000 faculty and staff, and a global alumni network of more than 300,000 graduates. The university is internationally recognized for excellence in agriculture, environmental sciences, natural resources, engineering, and sustainability research.
Frequently Asked Questions (FAQs)
1. What is the position offered?
The University of Alberta is offering a Postdoctoral Scholar in Forest Growth & Yield position.
2. Where is the job located?
The position is based at the North Campus in Edmonton, Alberta, Canada.
3. Is this a full-time position?
Yes. It is a full-time, on-site appointment.
4. How long is the appointment?
The initial appointment is for three years.
5. What salary is offered?
The annual salary ranges from CAD 70,000 to CAD 75,000, along with a comprehensive benefits package.
6. What qualifications are required?
Applicants must hold a PhD awarded within the last five years in Forestry, Forest Science, Forest Biometrics, Quantitative Silviculture, or a closely related field.
7. Which programming languages are expected?
Applicants should have proficiency in R and/or Python.
8. Is remote sensing experience required?
It is preferred but not mandatory. Experience with LiDAR, satellite imagery, or other remote sensing data will strengthen an application.
9. What documents are required?
Applicants must submit:
Cover Letter
Resume/CV
10. What is the application deadline?
The deadline to apply is 27 July 2026.
11. What research areas does this project cover?
The project focuses on:
Forest growth and yield
Forest dynamics
Remote sensing
Forest inventory
Climate impacts
Silviculture
Geospatial analysis
Sustainable forest management
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