The University of Wyoming is offering a fully funded Master’s research assistantship in the Forest Forensics and Dendroecology Lab for students interested in studying wildfire risk and forest recovery in Wyoming. This opportunity begins in Fall 2026 (start date August 2026, with expected graduation in May 2028).
This position provides comprehensive funding through the Wyoming Water Research Program, in collaboration with the Wyoming Geographic Information Science Center and the Wyoming Forest Resilience Initiative. Successful applicants will join a supportive team of five graduate students in a collaborative programme based in Laramie, Wyoming.
Project Overview
The selected M.S. student will focus on wildfire risk and forest recovery across Wyoming forests. Key tasks include:
- Developing deep-learning models to estimate fuel loading and forest regeneration using LiDAR data.
- Organising and conducting a statewide field campaign to validate the models through direct forest sampling.
- Contributing to advanced research combining remote sensing, machine learning, and fieldwork in a dynamic academic environment.
Funding and Benefits
This is a fully funded position, including:
- Annual stipend of $23,000 per year.
- Full tuition waiver.
- Health insurance coverage.
The role involves approximately 40 hours per week and is designed as a two-year Master’s programme.
Eligibility Requirements
Required Qualifications:
- Bachelor’s degree (BS) in Forestry, Environmental Science, Biology, or a closely related field.
- Proven ability to analyse large datasets using R statistical software.
- Excellent interpersonal and communication skills.
Desired (Preferred) Qualifications:
- Experience in processing and/or analysing LiDAR datasets.
- Experience with deep learning and/or machine learning techniques.
- Experience conducting fieldwork in remote locations.
- Experience writing and publishing peer-reviewed scientific manuscripts.
How to Apply (Step-by-Step Guide)
Applications are reviewed in the order received, so early submission is encouraged for priority consideration.
- Prepare the following documents:
- A cover letter describing your research interests, career goals, and relevant qualifications.
- Full CV (curriculum vitae).
- Unofficial academic transcripts.
- Contact details (email addresses and phone numbers) for three professional references.
- Combine all documents into a single PDF file.
- Email the PDF to [email protected].
- Use the exact subject line: Fire MS Application.
- Submit by the deadline: 1 March 2026.