Jobs:Job-01621
Start reviewing process: 4 September 2024
Posting:
Position: Post-doc positions
Start reviewing process: 4 September 2024
|
Project Description:
Groundwater’s contribution to streams in the form of low flows is critical to sustaining streamflow during prolonged dry periods. The primary objective of the project is to improve the low flow predictions in the NextGen Water Resources Modeling Framework through improved subsurface conceptualization and parameterization. The two post-doctoral scholars will work independently and collaboratively on the following two topics:
- Develop a CONUS scale dataset of effective hydraulic properties (e.g., hydraulic conductivity) of the subsurface using Machine Learning approaches. Contact: Dr. Pin Shuai (pin.shuai@usu.edu), Utah State University, Logan, UT (Work onsite with potential to become hybrid).
- Implement an existing groundwater module in selected land surface and hydrologic models (e.g., Noah-MP, CFE, etc.) and test their performance in predicting low flows. Contact: Dr. Mukesh Kumar (mkumar4@eng.ua.edu), The University of Alabama, Tuscaloosa, AL (Work onsite with potential to become hybrid).
Qualifications:
- PhD degree in Earth Science (such as hydrology, hydrogeology, geoscience, and environmental science) or other related engineering field (e.g., Civil and Environmental Engineering) at the time the program begins.
- Knowledge of fundamental hydrological processes in the subsurface.
- Expertise in Big Data, machine learning, and/or hydrologic modeling.
- Strong programming skills (e.g., Python and R).
- Strong written and verbal communication skills.
- U.S. work eligibility is required; non-U.S. scholars must have or be able to obtain a visa.
To Apply:
Email your CV, names and contact information for three references, and a Cover Letter to the contact person listed under each topic. In your cover letter, please briefly explain how your background aligns with the project. Applications will be reviewed immediately and will continue until the positions are filled. Candidates who are not contacted within 3 months from their application dates may consider their applications unsuccessful.
Compensation: