Jobs:Job-01059
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Revision as of 07:13, 11 November 2022 by WikiSysop (talk | contribs) (Created page with "{{CSDMS job details template |JOB title=Postdoc opportunity at the Pennsylvania State University |JOB position=Postdoc Opportunity |JOB CSDMS yes no=No |JOB university=Pennsylvania State University |State member=Pennsylvania |MOI meeting country=United States |JOB application_deadline=2022-12-02 |JOB begin review process=Yes |Working group member=Hydrology Focus Research Group, Artificial Intelligence & Machine Learning Initiative |JOB bodytext=The multiscale hydrology,...")
Postdoc opportunity at the Pennsylvania State University
Pennsylvania State University, Pennsylvania, United States
Start reviewing process: 2 December 2022
Start reviewing process: 2 December 2022
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Posting:
Position: Postdoc Opportunity
Start reviewing process: 2 December 2022
|
The multiscale hydrology, processes and intelligence (http://water.engr.psu.edu/shen/) in Civil & Environmental Engineering at the Pennsylvania State University is recruiting multiple postdoc scholars for incoming projects. The research topics include physics-informed machine learning for hydrologic prediction, e.g., streamflow for Southwestern US and floodcasting using machine learning in the context of the National Water Model (NWM). The candidates need to have a strong mathematical and coding background and a solid publication record. Machine learning (ML) experience is preferred although not mandatory. Experiences with process-based geoscientific models will be valuable. The candidates also need to be comfortable with venturing into unknown territories. The scholar will work with state-of-the-art ML algorithms as well as a deep integration between physics and ML, and will likely interact with a large group of researchers. The MHPI is a frontier in the area of ML in hydrology and has been leading many novel developments. If you are interested, please browse our website, publications, and send inquiries to cshen@engr.psu.edu.
ps. my internet connectivity may be limited in the next 2 weeks, so my reply may be delayed, but I will reply when I can.
Best
Chaopeng Shen
Associate Professor
Department of Civil and Environmental Engineering
231C Sackett Building
The Pennsylvania State University
University Park, PA 16802
Email: cshen@engr.psu.edu
Web: http://water.engr.psu.edu/shen/
Our group on AGU TV: https://www.youtube.com/watch?v=BIBBlM0BWaU
Of interest for: Hydrology Focus Research Group Artificial Intelligence & Machine Learning Initiative
