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Fatemeh Ghezelsofla

3 weeks ago

Postdoctoral Research Position in Remote Sensing, Weather, and Climate Forecasting at University of Texas at Arlington University of Texas at Arlington in United States

Degree Level

Postdoc

Field of study

Computer Science

Funding

No specific funding details are provided in the announcement.

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Country

United States

University

University of Texas at Arlington

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Keywords

Computer Science
Environmental Science
Remote Sensing
Hydrology
Climatology
Earth Science
Data Assimilation
Numerical Weather Prediction
Machine learning

About this position

The University of Texas at Arlington (UTA) is inviting applications for a Postdoctoral Researcher position to support ongoing research in remote sensing and the improvement of weather, climate, and snowpack forecasts. This role contributes to the Texas Forecast Informed Reservoir Operation Pilot, a project focused on advancing environmental monitoring and predictive capabilities.

The research areas include remote sensing, hydrology, meteorology, reservoir modeling, optimization, and high-performance computing. Candidates should have a strong background in C/C++ and Fortran programming, with additional experience in distributed programming on HPC systems, data assimilation, and machine learning considered advantageous. The ideal applicant will have a proven publication record in well-recognized journals and excellent communication skills.

Supervision is provided by Prof. Yu Zhang at UTA, and the position offers the opportunity to collaborate with leading experts in environmental science and technology. The University of Texas at Arlington is a prominent institution in the United States, known for its research in environmental and earth sciences.

Applicants must hold a PhD in Hydrology, Meteorology, Applied Mathematics, or a related field. To apply or inquire, candidates should contact Prof. Yu Zhang at [email protected]. No specific funding or deadline information is provided in the announcement.

Funding details

No specific funding details are provided in the announcement.

What's required

Applicants must hold a PhD in Hydrology, Meteorology, Applied Mathematics, or a related field. Required qualifications include a track record in reservoir modeling, optimization, and high-performance computing, as well as proficiency in C/C++ and Fortran. Strong written and verbal communication skills are essential. Preferred qualifications include experience with distributed programming on HPC systems, data assimilation, machine learning, and publications in well-recognized journals.

How to apply

Send your application or inquiries to Prof. Yu Zhang at [email protected]. Prepare your CV and relevant documents highlighting your qualifications. Mention your experience in reservoir modeling and HPC. Contact via email for further details.

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