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Boise State University

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Postdoctoral Research Fellow / PhD Opportunity in AI and Statistical Evaluation of Wildfire Forecasts at Boise State University Boise State University in United States

Degree Level

PhD, Postdoc

Field of study

Computer Science

Funding

Full funding available
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Country

United States

University

Boise State University

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Keywords

Computer Science
Environmental Science
Artificial Intelligence
Climate Science
Civil Engineering
Earth Science
Statistics
Geospatial Information
Machine learning

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About this position

Boise State University’s College of Engineering, Department of Civil Engineering, is inviting applications for a Postdoctoral Research Fellow and a PhD student in the project AI and Statistical Evaluation of Wildfire Forecasts.

The research sits at the intersection of artificial intelligence, machine learning, statistics, geospatial data, wildfire forecasting, and civil/environmental engineering. The post highlights work on developing and integrating wildfire datasets, building AI and statistical forecasting models, and applying machine learning for wildfire prediction in collaboration with research teams and stakeholders.

Eligibility mentions a PhD completed or in progress for the PhD opening, with backgrounds in geosciences, data science, statistics, civil/environmental engineering, forestry, or related fields. Strong skills in AI, machine learning, statistical modeling, and geospatial data are preferred, and publication experience is an advantage.

The position is based in Boise, Idaho, USA. The project duration is stated as 1 year, extendable up to 3 years depending on performance. No explicit funding, stipend, tuition, or scholarship details are provided in the post.

To apply, candidates should email a CV and a short statement of interest to the contact address listed in the post.

Funding details

Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.

How to apply

Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.

More information can be found here

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