- University Park, Pennsylvania, United States
- Full-time · Staff
The Postdoctoral Scholar will play a leading role in modeling and forecasting the hiring and retiring workforce trends in the utility sector using machine learning models, and help develop an innovative forecasting platform.
Responsibilities
- Lead analyses to forecast state-level and national electric utility workforce trends (e.g., in 5 and 10 years) related to retirement and hiring
- Manage large-scale education, labor market, and energy-sector datasets
- Develop and compare forecasting approaches, including traditional time-series models (e.g., ARIMA, VAR) and machine learning methods (e.g., Random Forest, LSTM)
- Contributes to analyses examining workforce resilience under alternative energy, climate, and labor market scenarios
- Support other analyses examining workforce behaviors, including knowledge transfer and sharing within utility organizations
Requirements
- Ph.D. 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
- Nice to have: Workforce or demographic forecasting or labor market projections using machine learning approaches
- Nice to have: Experience using federal or state employment, labor, and/or education datasets