Postdoctoral Fellow

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:

• 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
• Other duties as assigned

Required Experience:

• 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

Additional Preferred:

• 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., ParFlow, 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