Join a Dynamic Team Focused on Foundation AI modeling and Physics-Informed Machine Learning as a Postdoctoral Researcher at The Pennsylvania State University. The Pennsylvania State University is seeking applications for a Postdoctoral Researcher position in the field of computational land surface hydrology, with a focus on Foundation AI model pretraining and finetuning, geospatial data processing and physics-informed machine learning. Prior experiences with these topics are highly desired. Pending approval of the grant, the successful candidate will work on innovative research in hydrology, collaborating with Dr. Shen and other faculty members, while also participating in the development of research projects and providing support to graduate students. The postdoctoral scholar will combine foundation AI modeling and differentiable modeling (a genre of physics-informed machine learning) for hydrologic modeling to improve large-scale hydrologic forecast. The scholar will work with a large, interdisciplinary team on the next-generation land surface model. Especially, the scholar will integrate state-of-the-art AI and physics-informed AI techniques into an operational system. The contribution could bring benefits to society and reduce the damage of floods.
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Job Type
Full-time
Education Level
Ph.D. or professional degree
Number of Employees
5,001-10,000 employees