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Pennsylvania State University

Postdoctoral Scholar in Utility Workforce Forecasting The Pennsylvania State University in United States

Degree Level

Postdoc

Field of study

Computer Science

Funding

Full-time, benefits-eligible postdoctoral appointment funded by the Alfred P. Sloan Foundation; continuation depends on university need, performance, and/or availability of funding.

Deadline

Nov 20, 2026

Country flag

Country

United States

University

Pennsylvania State University

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Keywords

Computer Science
Sociology
Predictive Modeling
Business
Forecasting
Labor Economics
Data Visualization
Energy Sector
Economics
Statistics
Econometrics
ML

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About this position

The Pennsylvania State University is recruiting a Postdoctoral Scholar in Utility Workforce Forecasting to join the Energy Workforce and Grid Resilience Initiative. The project sits at the intersection of electric power systems, labor markets, and resilience research, and is supported by the Alfred P. Sloan Foundation.

The scholar will contribute to an interdisciplinary effort focused on a pressing challenge in the U.S. electric power sector: how utilities can adapt as experienced workers retire while electricity demand, climate-related disruptions, and infrastructure pressures continue to grow. The role centers on building models and a forecasting platform that bring together workforce projections and energy system modeling outputs.

The postdoctoral researcher will lead analyses of state-level and national electric utility workforce trends, especially retirement and hiring patterns over medium- and longer-term horizons. The project uses large education, labor market, and energy-sector datasets and combines traditional forecasting methods with machine learning approaches to better understand future workforce needs and resilience under different energy, climate, and labor market scenarios.

In addition to forecasting, the scholar will help analyze workforce behaviors such as knowledge transfer and sharing within utility organizations. The role also includes preparing technical reports, data visualizations, dashboards, manuscripts, and conference presentations, as well as supporting project coordination and collaboration with partners.

The position is based at Penn State and is designed to support the scholar’s development as an independent researcher within a collaborative, interdisciplinary environment that includes faculty support and broader postdoctoral career-development resources.

Funding details

Full-time, benefits-eligible postdoctoral appointment funded by the Alfred P. Sloan Foundation; continuation depends on university need, performance, and/or availability of funding.

What's required

Applicants must have a Ph.D. by the start date in Economics, Demography/Population Studies, Statistics, Data Science, Public Policy, Labor and Employment Relations/Industrial Relations, Workforce Development, Business Analytics/Management Science, Sociology, or a closely related field. Candidates should have demonstrated expertise in quantitative modeling, with experience in time-series forecasting, predictive modeling, machine learning, labor market analysis, demographic modeling, or workforce analytics; experience working with large-scale labor market, demographic, or administrative datasets; proficiency in R, Python, Stata, or similar statistical software; evidence of scholarly productivity; and the ability to work both independently and collaboratively in interdisciplinary research environments.

How to apply

Submit a cover letter describing research interests, methodological expertise, and fit; a CV; one representative writing sample; and names and contact information for three professional references. Combine materials to fit the 5-document limit in Workday and apply through the external applicant portal unless you are a current Penn State employee or student applying internally.

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