Postdoc: Energy & Resource Systems Modeling

University of Texas at Austin; Austin (TX); On-site; USD 59,000 - 72,000; Full time

Job summary

University of Texas at Austin's Bureau of Economic Geology invites a Postdoctoral Fellow in Energy and Resource Systems at the Pickle Research Campus. You will build economic and quantitative models, and design data pipelines to support COMPASS research on large-load industrial growth in Texas, including data centers, oil and gas, and manufacturing.

The role emphasizes geospatial analyses, scenario planning, and dissemination through reports, peer‑reviewed publications, and stakeholder

Qualifications

• PhD must be earned within 3 years from date of hire.
• Demonstrated record of research communication and ability to present quantitative results to non-technical audiences.
• Experience with quantitative modeling and handling large, heterogeneous databases.
• Programming capabilities in Python, R, SQL, or Julia; proficiency in Excel and PowerPoint.

Responsibilities

• Assess resource, infrastructure, and energy demand for large-load development; perform geospatial analyses for siting and resource coordination.
• Develop and maintain databases and data pipelines powering COMPASS research; build economic models and projections.
• Present research to consortium members and stakeholders; contribute to reports, white papers, and policy briefs.
• Mentor graduate and undergraduate researchers and contribute to publications.

Skills

Communication

Teamwork

Self-starter

Education

PhD in resource/environmental economics or closely related quantitative field

Tools

Python

R

SQL

Julia

Excel

PowerPoint

Job description

University of Texas at Austin's Bureau of Economic Geology invites a Postdoctoral Fellow in Energy and Resource Systems at the Pickle Research Campus. You will build economic and quantitative models, and design data pipelines to support COMPASS research on large-load industrial growth in Texas, including data centers, oil and gas, and manufacturing.

The role emphasizes geospatial analyses, scenario planning, and dissemination through reports, peer‑reviewed publications, and stakeholder