Postdoctoral Fellow

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.

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.

• Develop spatially explicit computational models using machine learning, hydrologic, and energy system approaches
• Analyze large, interdisciplinary datasets spanning biophysical, social, and governance domains
• Integrate quantitative model outputs with qualitative inputs including local and Indigenous knowledge
• Produce geospatial scenarios, vulnerability indicators, and decision-support tools
• Collaborate with research teams and community partners to support model development and application
• Mentor students and develop training materials related to energy–water resilience and futures analysis
• Experience in computational or statistical modeling of environmental, social, or coupled human–environment systems
• Experience managing, processing, and analyzing large and/or heterogeneous datasets, including quantitative and/or qualitative data
• Experience working with project partners and interdisciplinary research teams

Required Education

• 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

• Ability to travel

• Experience publishing in peer-reviewed literature and communicating to scientific audiences
• Experience in energy–water systems, climate resilience, climate scenario modeling, or socio-environmental systems research
• Experience analyzing quantitative and qualitative datasets and integrating geospatial data into modeling
• Experience with machine learning, hydrologic modeling, or energy systems modeling (e.g., Par Flow, WEPPCloud, agent-based models)
• Proficiency in scientific programming languages (e.g., Python, R) and geospatial tools (e.g., ArcGIS, QGIS), spatial statistics, or cloud computing
• Experience working in collaborative research teams
• Valid driver’s license and be able to successfully pass a driver’s record check

Physical Requirements & Working Conditions

• None

The University of Idaho is an equal employment opportunity employer, including veterans and individuals with disabilities.