Jobs:Job-01271
Start reviewing process: 19 July 2023
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Posting:
Position: Postdoctoral Scholar
Start reviewing process: 19 July 2023
Apply online:
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Link to apply: https://psu.wd1.myworkdayjobs.com/PSU_Academic/job/Penn-State-University-Park/Postdoctoral-Scholar_REQ_0000044030-1
Join a dynamic team focused on data assimilation and physics-informed machine learning as a Postdoctoral Scholar in computational hydrology.
The Pennsylvania State University is seeking applications for a Postdoctoral Scholar in the field of computational hydrology, with a focus on data assimilation and physics-informed machine learning. Pending approval of the grant, the successful candidate will work on innovative research in hydrology, collaborate with Dr. Shen and other faculty members, participate in the development of research projects, and provide support to graduate students.
The Postdoctoral Scholar will combine data assimilation and differentiable modeling (a genre of physics-informed machine learning) for hydrologic modeling to improve national-scale hydrologic forecast. The successful candidate will work with a large, interdisciplinary team on the next-generation national water model. The Postdoctoral Scholar will integrate state-of-the-art data assimilation techniques into the differentiable modeling platform, which could benefit society by reducing the damage of floods.
Duties include, but are not limited to:
- Develop and implement novel modeling techniques that stay current with the latest developments, as well as be willing to learn and adopt frontier methods.
- Collaborate with research team members to design, execute, and interpret research findings.
- Contribute to the development of high-quality research publications and presentations.
- Provide support to graduate students within the department.
Requirements:
The Postdoctoral Scholar should possess a Ph.D. in hydrology, civil engineering, environmental science, or a closely related field by the start date.
The successful candidate will also have:
- A strong background in numerical modeling and the application of computational methods to hydrological problems.
- Research experience with a track record of published work in relevant scientific journals.
- Excellent communication, teamwork, and problem-solving skills.
- Proficiency in programming languages, such as Python or Fortran. Experience with machine learning is a plus.
- Solid understanding of the physical hydrologic cycle and large-scale geographic datasets.
This is a term appointment for one year with an excellent possibility of renewal depending on performance and funding availability.
The Pennsylvania State University offers a dynamic research environment, providing access to world-class facilities and resources. We encourage highly motivated candidates with a passion for advancing the field of computational hydrology to apply for this exciting position. To apply, please submit your CV, a cover letter detailing your research interests and experience, and contact information for three references with your online application.
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University Park, PA
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/
