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Postdoctoral fellowship- Hydrology, water resources, and uncertainty analysis

Graduate & Postdoc
Expiration Date: 

Number of positions to fill: 1

Salary: $57,000- $65,000

The University of Michigan School for Environmental and Sustainability (SEAS) seeks outstanding candidates for a postdoctoral scholar position. The successful candidate will lead research in the field of hydrology with potential applications to hydrological modeling, forecasting, water resources management, and uncertainty assessment. Candidates with an interest in water quality modeling are also encouraged to apply. It is expected that the selected scholar will work with Dr. Andrew Gronewold at SEAS, with the potential for collaborating with scholars from different units across the University of Michigan (including Climate and Space Sciences and Engineering, Earth and Environmental Sciences, and Civil and Environmental Engineering), and with external colleagues at the National Center for Atmospheric Research.

successful candidate will be expected to publish in the peer-reviewed literature, present research results at scientific conferences, and assist in developing proposals for external funding.

The position offers a competitive salary, with full University of Michigan benefits, and funding for equipment and travel support.

Applications will be reviewed until the position is filled. The position may start as early as January 2019.

Application Deadline:
The application deadline is January 31, 2019, but the position may be filled earlier if a suitable candidate is found.

It is expected that candidates have competence in data intensive research with a focus on hydrological science, statistical analysis, and modeling. A PhD in hydrology, water resources, atmospheric sciences, or related field is expected. Candidates should have a solid record of scholarship and strong written and oral communication skills.

Working knowledge with state-of-the-art hydrological models such as Noah-MP, WRF-Hydro, and VIC is desired. Candidates with a strong quantitative and statistical background with programming experience in R, Python, or Matlab are also preferred. Preference will also be given to candidates with a record of peer-reviewed publications and experience preparing grant proposals.

to Apply
To be considered for this position, applicants should submit a cover letter indicating planned research focus and expected career trajectory, CV, two representative publications, and contact information for two references.

Additional Information
If you have questions please contact Andrew Gronewold at