Boise State University
1 month ago
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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
A postdoctoral research fellow and PhD student position is offered on a project titled "AI and Statistical Evaluation of Wildfire Forecasts." The project duration is 1 year, extendable up to 3 years based on performance. No stipend, tuition, or other funding details are stated.
Country
United States
University
Boise State University
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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
A postdoctoral research fellow and PhD student position is offered on a project titled "AI and Statistical Evaluation of Wildfire Forecasts." The project duration is 1 year, extendable up to 3 years based on performance. No stipend, tuition, or other funding details are stated.
What's required
PhD completed or currently pursuing a PhD for the PhD position in geosciences, data science, statistics, civil/environmental engineering, forestry, or related fields. Applicants should have a strong background in AI, machine learning, statistical modeling, and geospatial data. Research publication experience is preferred.
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