Postdoctoral Fellow in Energy and Resource Systems
Core
Build and apply quantitative and economic models to assess resource, infrastructure, and energy requirements for large-load industrial development in Texas, including data centers, oil and gas, and advanced manufacturing.
Role type
Postdoctoral researcher (energy systems & economic modeling)
Builds
Quantitative models, databases, geospatial analysis tools, and interactive visualization systems for industrial resource planning
Domain
Energy systems, resource economics, industrial development, geospatial analysis
Deliverable
production ML models | dashboards & analysis | research
Required skills
quantitative modeling, economic modeling, database engineering, data science, geospatial analysis, Python, R, SQL, Julia, high-performance computing workflows
Preferred skills
GIS, spatial suitability modeling, multi-criteria decision methods, machine learning, electricity market modeling, ERCOT data familiarity, large language model methods for document extraction
Technologies
Python, R, SQL, Julia, GIS, high-performance computing, interactive visualization databases
Responsibilities
Assess resource and infrastructure requirements for large-load industrial projects; build and maintain databases and data pipelines integrating multi-source datasets; conduct geospatial and data science analysis for site suitability and scenario planning; present research to stakeholders and policymakers; publish in peer-reviewed journals and reports; mentor graduate and undergraduate students
Seniority
Postdoctoral Fellow (early-career researcher)