Pennsylvania State University
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Postdoctoral Scholar in Computational Land Surface Hydrology, Foundation AI, and Physics-Informed Machine Learning Pennsylvania State University in United States
Degree Level
Postdoc
Field of study
Computer Science
Funding
Full funding availableCountry
United States
University
Pennsylvania State University

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About this position
Postdoctoral Scholar opportunity at Pennsylvania State University in State College, Pennsylvania, United States, focused on computational land surface hydrology, foundation AI model pretraining and finetuning, geospatial data processing, and physics-informed machine learning.
The successful candidate will join a dynamic interdisciplinary team working on next-generation land surface modeling and large-scale hydrologic forecasting. The project combines foundation AI modeling with differentiable modeling to improve operational hydrologic systems and help reduce flood damage. The scholar will collaborate with Dr. Shen and other faculty members, contribute to research design and interpretation, support graduate students, and help produce high-quality publications and presentations.
Eligibility highlights: applicants should hold a Ph.D. in hydrology, civil engineering, environmental science, or a closely related field by the start date. Strong experience in numerical modeling and computational approaches to land surface hydrology is expected, along with a publication record, strong communication and teamwork skills, and proficiency in Python or Fortran. Experience with machine learning and familiarity with the physical hydrologic cycle and large geographic datasets are preferred.
Funding: this is a term postdoctoral position; continuation depends on university need, performance, and/or funding availability. Penn State notes a competitive benefits package for full-time employees, but no stipend amount is listed.
How to apply: external applicants should use the Workday application link. Current Penn State employees and students must apply internally through Workday. Prepare a CV, a cover letter describing your research interests and experience, and contact information for three 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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