JOB DESCRIPTION AND POSITION REQUIREMENTS:
Join a Leading Team Focused on Physics-Informed Machine Learning and Deep Learning as an Assistant Research Professor in Computational Hydrology at The Pennsylvania State University.
The Pennsylvania State University is seeking applications for a Assistant Research Professor position in the field of computational hydrology, with a focus on physics-informed machine learning and deep learning. The successful candidate will work on cutting-edge research in hydrology, collaborating with Dr. Shen and other faculty members, while contributing to the supervision of graduate students and the development of grants and research projects.
Research Focus:
- Physics-informed machine learning applied to hydrology.
- Deep learning methods for advanced hydrological modeling at the national scale.
Duties include, but are not limited to:
- Develop and implement numerical solutions for differential equations related to hydrology.
- Apply physics-informed machine learning techniques to enhance hydrological modeling accuracy and efficiency.
- Stay current with the latest developments and 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.
- Assist Dr. Shen in developing and submitting grant proposals to secure research funding.
- Mentor and supervise graduate students within the department.
Requirements:
The Assistant Research Professor should possess a terminal degree or its equivalent in an academic field related to their research. Alternatively, the Assistant Research Professor without a terminal degree should possess at least a master’s degree or its equivalent in an academic field related to his/her teaching specialization; must have demonstrated ability as a researcher; and must have shown evidence of professional growth and scholarship in their discipline. A Ph.D. in hydrology, civil engineering, environmental science, or a closely related field is preferred.
The successful candidate will also have:
- A strong background in numerical modeling and the application of computational methods to hydrological problems.
- Demonstrated 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.
- Solid understanding of the physical hydrologic cycle.
This is a term appointment for 2 years with an excellent possibility of renewal.
The Pennsylvania State University offers a vibrant 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 rewarding 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.
The Pennsylvania State University is committed to and accountable for advancing diversity, equity, and inclusion in all of its forms. We embrace individual uniqueness, foster a culture of inclusive excellence that supports both broad and specific diversity initiatives, leverage the educational and institutional benefits of diversity, and engage all individuals to help them thrive. We value inclusive excellence as a core strength and an essential element of our public service mission.
CAMPUS SECURITY CRIME STATISTICS:
Pursuant to the Jeanne Clery Disclosure of Campus Security Policy and Campus Crime Statistics Act and the Pennsylvania Act of 1988, Penn State publishes a combined Annual Security and Annual Fire Safety Report (ASR). The ASR includes crime statistics and institutional policies concerning campus security, such as those concerning alcohol and drug use, crime prevention, the reporting of crimes, sexual assault, and other matters. The ASR is available for review here.
Employment with the University will require successful completion of background check(s) in accordance with University policies.
EEO IS THE LAW
Penn State is an equal opportunity, affirmative action employer, and is committed to providing employment opportunities to all qualified applications without regards to race, color, religion, age, sex, sexual orientation, gender identify, national origin, disability or protected veteran status. If you are unable to use our online application process due to an impairment or disability, please contact 814-865-1473.
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