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