Jobs:Job-00523
Start reviewing process: 6 November 2021
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Posting:
Position: PostDoc position
Start reviewing process: 6 November 2021
Apply online:
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We seek a postdoctoral researcher to develop and integrate multiscale models using the AI/ML framework. Specifically, this will involve the Noah-MP and WRF modeling system, and its upscaling and downscaling with the E3SM earth system model and the ADCIRC+SWAN storm surge and wave modeling system. This is part of a multiyear project funded by the US Department of Energy. The candidate will be based at UT Austin and be affiliated in the Department of Geological Sciences, Jackson School of Geosciences, or the Oden Institute of Computational Engineering and Sciences or the Department of Civil, Architectural and Environmental Engineering. The researcher will get an opportunity to actively collaborate with different research groups at UT Austin, and also with the Pacific Northwest National Laboratory. Austin is a highly vibrant city and provides access to numerous activities beyond the research and academic experience through UT Austin.
BASIC QUALIFICATIONS
PhD (or equivalent international degree) in Atmospheric Sciences, Civil Engineering, Environment Water Resources, Applied Math, Statistics, or related field required by the start date.
PREFERRED QUALIFICATIONS
- Strong data science skills and research experience in global or regional atmospheric modeling (e.g., E3SM, CESM, WRF, HWRF, WRF-Hydro, ELM, NWM, Noah-MP, HEC-RAS) as evidenced by peer-reviewed publications.
- Research skills and interests in processing and downscaling climate model outputs and satellite datasets
- Demonstrated written and verbal communication skills, ability to think critically, and experience in leading high-impact scientific publications
- Ability to work with a cross-disciplinary team
APPOINTMENT
The initial appointment is for one year, with a possible annual renewal for another two years based on performance. This is a full-time appointment and the postdoc will be co-supervised by Drs. Zong-Liang Yang and Dev Niyogi. Start date is immediately but is flexible between October 2021 to April 2022.
TO APPLY
