Earth Systems Modeling and Precipitation Extremes Postdoctoral Research Fellow

Earth Systems Modeling and Precipitation Extremes Postdoctoral Research Fellow

Posting Number: F-1034

College/Unit: College of Science and Engineering

Home Department: Department of Earth and Atmospheric Sciences

Employee Group: Postdoctoral Research Fellow

Employment Status: Full-Time

Position Type: 12 month

Position Classification: Postdoctoral Research Fellow

Position Begin Date: 08/03/2026

Position End Date: 08/02/2027

Position Summary:

The Department of Earth and Atmospheric Sciences at Central Michigan University is seeking a Earth Systems Modeling & Precipitation Extremes Postdoctoral Research Fellow. This position is a one-year appointment with the potential for renewal. The successful applicant will join a dynamic group investigating many aspects of climate resiliency and extreme events in the current and future climate.

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 hydrological hazards. The project aims to produce data and tools that will help communities plan for and become more resilient to climate change in collaboration with communities in three pilot watersheds in Michigan: the Chippewa River, Lower Grand River, and Rouge River. The project will use both statistical and dynamical downscaling of near-term climate model projections to develop local precipitation models to allow the team to simulate future risks of floods and torrential rains. The project will use the DOE COMPASS-GLM coupled system to include lake processes within these projections. Analysis of these data will include extreme value analysis and statistical analysis under non-stationary frameworks. The project is supported by the Department of Energy Resiliency Center program, and will involve engagement of community partners to assess relevant data.

Required Qualifications:

• Ph.D. in Atmospheric Science or a closely related field (received within the last six years).
• Experience working with climate model data, statistical analysis, extreme value methods, high-dimension data analysis, and an interest in developing community relevant projections.
• Ability to carry out their research responsibilities with limited guidance.
• Ability to perform the essential functions of the job with or without reasonable accommodation.

Preferred Qualifications:

• Excellent written and oral communication.
• Experience either modeling or using data from the Weather Research and Forecasting platform.
• Experience with machine learning techniques to parse highly dimensional data.

Message to Applicants:

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 CMUs mission, vision, and leadership standards.

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

The position is available immediately but applications will continue to be accepted until the position is filled. To apply for the position, applicants must upload a letter of interest, curriculum vitae, unofficial transcript copies, and contact information for three professional references.

You may contact Professor John Allen or Professor Daria Kluver with questions at allen4jt@cmich.eduor kluve1db@cmich.edu.

About the Department:

Earth and Atmospheric Sciences (EAS) at CMU is a multidisciplinary department with expertise spanning Earth System Science, with a vibrant and collaborative environment and a strong reputation for scholarship and student outcomes. EAS offers B.S. degrees in Environmental Science, Meteorology, and Geology, and participates in the interdisciplinary Earth and Ecosystem Sciences Ph.D. program. We serve approximately 100 majors and minors across our programs and have a strong history of successful internship, career, and graduate school placements. More information about our department can be found at www.eas.cmich.edu.