Postdoc: AI-Driven Environmental Modeling & Extreme Events
University of Houston
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Job summary
The University of Houston invites applications for a postdoctoral researcher in the Department of Earth & Atmospheric Sciences. The successful candidate will conduct research at the intersection of artificial intelligence, process-based modeling, and extreme-event science.
The postdoctoral researcher will develop and apply advanced modeling approaches to investigate extreme events such as flooding and wildfires, and assess their impacts on ecosystems, environmental systems, and human
Qualifications
- Ph.D. in Hydrology, Atmospheric Science, Remote Sensing, Environmental Science, CS, GIS, Earth Science or related field.
- Strong quantitative and modeling skills with experience in ML/DL, process-based environmental modeling, or geospatial analysis.
- Strong programming skills in Python or related scientific computing environments.
- Strong written and oral communication skills.
Responsibilities
- Conduct research at the intersection of artificial intelligence, process-based modeling, and extreme-event science.
- Develop and apply advanced modeling approaches to study floods, wildfires, and their impacts.
- Contribute to model development and evaluation, data analysis, and manuscript preparation.
- Present results at scientific conferences and collaborate with interdisciplinary teams.
Skills
Education
Tools
Job description
The University of Houston invites applications for a postdoctoral researcher in the Department of Earth & Atmospheric Sciences. The successful candidate will conduct research at the intersection of artificial intelligence, process-based modeling, and extreme-event science.
The postdoctoral researcher will develop and apply advanced modeling approaches to investigate extreme events such as flooding and wildfires, and assess their impacts on ecosystems, environmental systems, and human
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