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About the Role

This postdoctoral researcher position is part of the COMPASS consortium, focusing on assessing the resource, infrastructure, and energy requirements of large-load industrial development in Texas. The role involves building and applying quantitative and economic models, conducting geospatial and data science analysis, and translating research into actionable insights for stakeholders.

Responsibilities

• Assess resource, infrastructure, and demand requirements of large-load industrial development, including energy, water, and land use.
• Conduct integrated geospatial analyses for optimal siting, balancing access to water, land, generation resources, transmission, and existing industrial infrastructure.
• Evaluate synergies from co-locating complementary industries.
• Build and apply quantitative and economic models to quantify cost, reliability, and trade-offs across development scenarios.
• Develop projections of industrial resource and energy demand at high spatial and temporal resolution.
• Build a system modeling framework to evaluate the deliverability of large-load projects, including interconnection, capacity, and infrastructure constraints.
• Design, build, and maintain databases and data pipelines integrating large multi-source datasets into reproducible analytical systems.
• Conduct independent research and develop grant proposals.
• Present research to consortium members, stakeholders, and policymakers.
• Contribute to member-facing forecasting reports, white papers, and policy briefs.
• Publish in BEG Reports of Investigation, peer-reviewed journals, and informal outlets.
• Develop and maintain analytical, database, and computing infrastructure, including high-performance computing workflows and geospatial data pipelines.
• Mentor graduate and undergraduate student researchers.

Requirements

• PhD in resource or environmental economics, economics, energy systems engineering, industrial engineering, operations research, data science, water or environmental resources engineering, geosciences, or a closely related quantitative field, earned within 3 years from date of hire.
• Demonstrated record of research communication, including peer-reviewed publication.
• Ability to communicate quantitative results to non-technical audiences.
• Excellent teamwork, communication, and organizational skills.
• Self-starter with the ability to learn new subject areas quickly and stay focused on execution.
• Genuine curiosity about fast-growing, fast-changing sectors and comfort working in a fast-paced, collaborative team.
• Demonstrated research experience in quantitative modeling and database or data systems engineering.
• Prior research experience with large, heterogeneous databases and quantitative models.
• Documented capabilities in programming like Python, R, SQL, or Julia.
• Proficient in Excel and PowerPoint.

Skills

• Quantitative modeling
• Database management
• Data systems engineering
• Python
• R
• SQL
• Julia
• Excel
• PowerPoint
• Geospatial modeling and analysis (preferred)
• GIS (preferred)
• Spatial suitability modeling (preferred)
• Multi-criteria decision methods (preferred)
• Machine-learning-based feature importance (preferred)
• Regional economic or fiscal impact analysis (preferred)
• Electricity markets and power system modeling (desirable)
• Machine learning or AI methods (experience applying)
• Large language model methods (experience applying)

Location

• PICKLE RESEARCH CAMPUS
• North Austin

Work Type

• Full-time

Experience Level

• Postdoctoral

Education Level

• PhD

Salary/Compensations

• $65,000

Benefits

• Teacher Retirement System of Texas (TRS) or Optional Retirement Program (ORP) depending on hours and duration.

About the Company

• The Bureau of Economic Geology's Center for Energy Economics is a research consortium focused on large-load industrial growth in Texas and its impact on shared systems.
• The University of Texas at Austin is an equal opportunity/affirmative action employer.

Equal Opportunity

• The University of Texas at Austin, as an equal opportunity/affirmative action employer, complies with all applicable federal and state laws regarding nondiscrimination and affirmative action.
• The University is committed to a policy of equal opportunity for all persons and does not discriminate on the basis of race, color, national origin, age, marital status, sex, sexual orientation, gender identity, gender expression, disability, religion, or veteran status in employment, educational programs and activities, and admissions.