Postdoctoral Fellow
Posting Number: SP005253P
Division/College: College of Agricultural & Life Sciences
Department: Soils and Water Systems
Location: Moscow
Posting Context Statement:
Develops alternative futures and resilience pathways by translating model outputs into spatial and temporal scenarios for a regional testbed. Applies integrated modeling approaches to evaluate climate and resource dynamics and supports scenario-based planning. Engages with community partners to incorporate stakeholder perspectives and align outputs with local priorities. Produces interactive visualizations and communication materials to support decision-making. Contributes to interdisciplinary collaboration and project integration across research components.
Position Overview:
Supports interdisciplinary research on energy-water resilience by developing and applying spatial and computational models of coupled human-environment systems under climate, population, technological, and governance stressors. Integrates quantitative and qualitative data to produce alternative futures and decision-support tools, and collaborates with research teams and community partners to ensure outputs reflect local priorities and inform adaptation planning.
Duties may include:
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Develop spatially explicit computational models using machine learning, hydrologic, and energy system approaches
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Analyze large, interdisciplinary datasets spanning biophysical, social, and governance domains
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Integrate quantitative model outputs with qualitative inputs including local and Indigenous knowledge
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Produce geospatial scenarios, vulnerability indicators, and decision-support tools
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Collaborate with research teams and community partners to support model development and application
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Mentor students and develop training materials related to energy-water resilience and futures analysis
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Other duties as assigned
Required Experience:
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Experience in computational or statistical modeling of environmental, social, or coupled human-environment systems
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Experience managing, processing, and analyzing large and/or heterogeneous datasets, including quantitative and/or qualitative data
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Experience working with project partners and interdisciplinary research teams
Required Education:
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PhD in environmental science, hydrology, civil or environmental engineering, geography, computational social science, or a related field with a focus on quantitative modeling and/or data science at the time of hiring
Required Other:
Additional Preferred:
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Experience publishing in peer-reviewed literature and communicating to scientific audiences
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Experience in energy-water systems, climate resilience, climate scenario modeling, or socio-environmental systems research
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Experience analyzing quantitative and qualitative datasets and integrating geospatial data into modeling
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Experience with machine learning, hydrologic modeling, or energy systems modeling (e.g., ParFlow, WEPPCloud, agent-based models)
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Proficiency in scientific programming languages (e.g., Python, R) and geospatial tools (e.g., ArcGIS, QGIS), spatial statistics, or cloud computing
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Experience working in collaborative research teams
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Valid drivers license and be able to successfully pass a drivers record check
Physical Requirements & Working Conditions:
Degree Requirement:
Listed degree qualification is required at time of application
FLSA Status: Exempt
Employee Category: Exempt
Pay Range: Commensurate with experience
Type of Appointment: Fiscal Year
FTE:
1.0
Full Time/Part Time: Full Time
Funding: This position is contingent upon the continuation of work and/or funding.
A visa sponsorship is available for the position listed in this vacancy: Yes
Posting Date: 05/01/2026
Closing Date:
Open Until Filled: Yes
Special Instructions to Applicants:
Applications received by May 15, 2026, will receive first consideration.
IMPORTANT: To be considered, your "Letter of Qualification" must address EACH of the minimum qualifications, including pertinent education and/or experience. In addition, to improve your ranking during the evaluation process, address as many of the Preferred Qualifications as possible. Information on a resume will not be accepted as a substitute for submitting a Letter of Qualification.
If you would like to receive a full position description, please email Aaron Chastain at
[email protected] and request that one be sent to you.
Along with your letter of qualification, please submit your unofficial transcripts and samples of your work under "other documents 1-3"
Visa sponsorship is only available for J1
https://www.uidaho.edu/human-resources/careers/applicant-resources
Background Check Statement:
Applicants who are selected as final possible candidates must be able to pass a criminal background check.
To apply, visit https://uidaho.peopleadmin.com/postings/51447
The University of Idaho is an equal employment opportunity employer, including veterans and individuals with disabilities.
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