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Mojtaba Sadegh

4 months ago

Postdoctoral Research Fellow / PhD Position in AI-Based Wildfire Forecast Assessment and Management Boise State University in United States

Degree Level

PhD, Postdoc

Field of study

Computer Science

Funding

The project is funded by the Joint Fire Science Program. The postdoctoral appointment is for 1 year with the possibility of extension to 3 years contingent on successful performance. No stipend or tuition details are provided.

Deadline

Expired

Country flag

Country

United States

University

Boise State University

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Keywords

Computer Science
Machine Learning
Environmental Science
Geography
Artificial Intelligence
Civil Engineering
Statistics
Statistical Modelling
Geospatial Information

About this position

Boise State University is seeking a motivated Postdoctoral Research Fellow and/or PhD student for a project on AI-based assessment of fire potential forecasts to support wildfire prevention and management. The work is funded by the Joint Fire Science Program and is based at Boise State University, Boise, Idaho.

The project will evaluate fire forecast products, integrate large environmental and geospatial datasets, and develop advanced statistical and AI/ML models to better understand and predict fire outcomes. Research tasks include building analysis-ready datasets, assessing forecast efficacy, fusing multiple forecast products, and collaborating with stakeholders to produce actionable guidance for fire managers.

Relevant study areas include Environmental Science, Computer Science, Statistics, Geography, and related fields such as geosciences, data science, civil and environmental engineering, and forestry. The postdoctoral role is described as a 1-year appointment with the possibility of extension to 3 years depending on performance.

Applicants should have strong expertise in AI/machine learning (including deep learning and explainable AI), statistical modeling, and handling large-scale, high-dimensional environmental and geospatial data. Experience with wildfire or climate-related applications is preferred, along with the ability to publish in high-impact journals and communicate results to both technical and non-technical audiences.

Preferred start dates are October 1 for the postdoctoral fellow and January 1 for the PhD student. To apply, send a short statement of interest and your CV directly to the contact email provided.

Funding details

The project is funded by the Joint Fire Science Program. The postdoctoral appointment is for 1 year with the possibility of extension to 3 years contingent on successful performance. No stipend or tuition details are provided.

What's required

Applicants should have or be pursuing a PhD in Geosciences, Data Science, Statistics, Civil and Environmental Engineering, Forestry, or a related field for the postdoctoral role, or be a motivated PhD student for the doctoral opening. Strong expertise in advanced AI/machine learning (including explainable AI and deep learning) and statistical modeling is required. Candidates should be proficient in managing large-scale, high-dimensional environmental and geospatial datasets and have demonstrated ability to publish in high-impact journals and communicate complex scientific results to both technical and non-technical stakeholders. Relevant experience with wildfire or climate-related applications is preferred.

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Professors

Associate Professor

University Name
Country flag

United States

Research Interests

Human Geography

Environmental Sociology

Statistical Modelling

Geospatial Information

Disaster Risk Reduction