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Tao Wen

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Postdoctoral Scholar in AI for Earth and Environmental Sciences Syracuse University in United States

Degree Level

Postdoc

Field of study

Computer Science

Funding

Full funding available
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Country

United States

University

Syracuse University

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Keywords

Computer Science
Geology
Environmental Science
Hydrology
Artificial Intelligence
Hydrogeology
Civil Engineering
Computational Science
Earth Science
Geochemistry
Statistics
Geospatial Information
Machine learning

About this position

Anticipated Postdoctoral Scholar opportunity at Syracuse University in the research group of Tao Wen, focused on AI for Earth and Environmental Sciences.

The project is interdisciplinary and will use artificial intelligence, machine learning, environmental data science, and large geochemical, hydrologic, geospatial, and environmental datasets to investigate energy and environmental systems, terrestrial elemental cycles, and related Earth system science questions.

Relevant backgrounds include geoscience, hydrology, geochemistry, environmental science, civil/environmental engineering, data science, computational geoscience, and related areas. Experience with AI/ML, reproducible computational workflows, Python/R, and large environmental datasets is especially valued.

This is an early heads-up post: the position is pending final university approval, and the formal advertisement will be shared later. Interested candidates are encouraged to contact [email protected] with a CV, a short statement of research interests and relevant experience, and contact details for 2–3 references.

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.

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