Postdoctoral Associate -CREWS Water Resources, College of Science and Engineering

Postdoctoral Associate I-CREWS Water Resources, College of Science and Engineering (2877)

Pocatello - Main

Review of applications will begin January 5, 2026.

Idaho State University, established in 1901, is a Carnegie‑classified doctoral research and teaching institution, with a culture built on trust, compassion, stability, and hope. ISU serves over 12,000 students in Pocatello, Meridian, Twin Falls, and Idaho Falls. Students and faculty at ISU are leading the way in cutting‑edge research and innovative solutions. We are proud to offer exceptional academics nestled in the grand, natural beauty of the West.

We invite you to apply to be a part of our University community!

Idaho State University’s College of Science and Engineering invites applications for a two‑year Postdoctoral Research Associate position, funded by the NSF EPSCoR program Idaho Community‑Engaged Resilience for Energy‑Water Systems (I‑CREWS). This program facilitates community‑engaged research with Tribal Nations and other Idaho communities to evaluate, model, and develop future scenarios for energy‑water systems under environmental, technological, and social change.

The postdoctoral researcher will focus on modeling and simulation of energy‑water systems such as groundwater, geothermal power, and other water‑energy‑ecological systems. The work will integrate hydrologic and ecological processes with energy‑water infrastructure modeling, with opportunities to expand into related domains such as surface hydrology, GIS‑based spatial modeling, Artificial Intelligence (AI) and advanced data science.

The successful candidate will engage in cross‑disciplinary research with faculty from Biological Science, Civil and Environmental Engineering, Computer Science, and Geosciences, and will play a pivotal role in collaborative efforts with the Shoshone‑Bannock Tribes as part of I‑CREWS’ commitment to community‑driven research.

I‑CREWS is a statewide research program focused on advancing resilience in energy‑water systems through collaboration with Idaho’s Tribal Nations and communities. This position will be embedded in that network, providing opportunities for collaboration with ISU’s GIS Training and Research Center, the Center for Ecological Research and Education, and statewide research partners at Boise State University, the University of Idaho, and Idaho National Laboratory.

Questions about the position can be directed to the hiring committee chair, Dr. Bruce Savage at brucesavage.

This position is not eligible for new visa sponsorship at this time. Candidates who already hold valid U.S. work authorization may be considered.

• Conduct advanced modeling and simulation of the candidate’s area of expertise like groundwater, geothermal, and ecological water‑energy systems.
• Collaborate across disciplines to integrate hydrological, ecological, and energy infrastructure data.
• Engage in community‑based research with Tribal Nations and Idaho stakeholders to co‑develop resilience strategies.
• Disseminate research findings through peer‑reviewed publications, conferences, and stakeholder workshops.
• Interface with ICREWS faculty.
• Mentor graduate and undergraduate research assistants.

• Ph.D. in Biological Science, Civil/Environmental Engineering, or Geoscience, or a closely related discipline. Applicants with all but dissertation (ABD) will be considered.
• Strong background in modeling and simulation.
• Demonstrated ability to conduct independent research and collaborate across disciplines.
• Excellent written and verbal communication skills.
• Demonstrated ability or willingness to work with communities, stakeholders, policy makers, and an interdisciplinary team.

• Experience in groundwater or geothermal modeling using industry standard software like Parflow or Modflow.
• Familiarity with ecological systems, water resources, or hydrology.
• Experience or familiarity with GIS, high‑performance computing, or data integration methods.
• Ability to work effectively on multi‑disciplinary research teams.
• Experience applying AI methods to environmental or energy‑water system modeling.
• Prio…