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Hydrologic and Hydraulic Modeling Postdoctoral Research Fellow

Job in Mount Pleasant, Isabella County, Michigan, 48804, USA
Listing for: Central Michigan University
Full Time position
Listed on 2026-10-15
Job specializations:
  • Research/Development
    Research Scientist
  • Engineering
    Research Scientist
Salary/Wage Range or Industry Benchmark: 52000 - 68000 USD Yearly USD 52000.00 68000.00 YEAR
Job Description & How to Apply Below
Hydrologic and Hydraulic Modeling Postdoctoral Research Fellow

Below you will find the details for the position including any supplementary documentation and questions you should review before applying for the opening.

Central Michigan University is dedicated to fostering an environment that is reflective of the communities we serve. We are especially interested in highly qualified candidates who will advance and promote CMU’s mission, vision, and leadership standards.

You must submit an online application in order to be considered as an applicant for this position.

Applicants must upload a (1) cover letter describing the candidate’s interest and qualifications, (2) curriculum vitae, and (3) contact information for three professional references. Please contact Dr. Roderick Lammers with questions at lamme1r . Cover letters may be addressed to the Hiring Committee.

Posting Number F-1069

Position Title Hydrologic and Hydraulic Modeling Postdoctoral Research Fellow

College/Unit College of Science and Engineering

Home Department School of Engineering and Technology

Employee Group Postdoctoral Research Fellow

Employment Status Full-Time

Position Type 12 month

Position Classification Postdoctoral Research Fellow

Position Begin Date 02/01/2027

Position End Date 01/31/2028

Dr. Roderick Lammers at Central Michigan University is seeking a postdoctoral scholar to assess flood risk in Michigan using hydrologic and hydraulic modeling.

The postdoctoral research fellow will work as part of a team on the Building Predictive Capacity to Enhance Stormwater Infrastructure and Flood Resilience project. This project is focused on providing community-relevant information for Michigan to enhance resilience to flood hazards. The project aims to produce data and tools that will help communities plan for and become more resilient to climate change in three pilot watersheds in Michigan: the Chippewa River, Lower Grand River, and Rouge River watersheds.

The project will use climate model outputs of future precipitation patterns with hydrologic and hydraulic models to quantify potential future flood impacts in the study watersheds. The project is supported by the Department of Energy Resiliency Center program and will involve engagement of community partners to assess relevant data.

Experience with hydrologic and/or hydraulic modeling is required. The ideal candidate would have experience specifically with one or more of the following models: WRF
-Hydro, Advanced Terrestrial Simulator ( ATS ), Stormwater Management Model ( SWMM ), Hydrologic Engineering Center – Hydrologic Modeling System ( HEC - HMS ), and/or Hydrologic Engineering Center – River Analysis System ( HEC - RAS ). The appointee is expected to carry out their research responsibilities with limited guidance. Mentoring of the appointee will be conducted according to DOE PIER plan guidelines.

Salary is competitive and commensurate with qualifications and experience.

The expected start date for the appointment is February 2027, but this is negotiable. The appointment is full-time for 12 months.

Research shows that individuals are less likely to apply for a position if they do not meet 100% of the preferred qualifications. Please note this is not necessary. If you meet the required qualifications and have a passion for the work, you are encouraged to apply.

Required Qualifications
  • Ph.D. in Civil or Environmental Engineering, Watershed Hydrology, Earth Science, or a related field.
  • Experience with hydrologic and/or hydraulic modeling.
  • Experience with one or more scripting languages (Python, R, or similar) to create model inputs and analyze model outputs.
  • Ability to work independently in a research setting, as well as collaboratively as a team member.
  • Experience writing…
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