About The Position

Workforce Intelligence Lab (WIL) is building a research network focused on workforce policy, labor-market measurement, infrastructure workforce capacity, and causal policy evaluation. We are seeking a Senior Research Fellow — Apprenticeship & Workforce Policy to support current and future externally funded research examining how apprenticeship policy, employer incentives, and workforce-development interventions affect participation, completion, labor supply, wages, and employer demand. This opportunity is particularly relevant to researchers with experience in registered apprenticeship, labor economics, workforce development, Career Pathways, employer hiring incentives, or state workforce policy. WIL is currently developing a quasi-experimental study examining whether state policies that incentivize employers to participate in registered apprenticeship programs produce measurable changes in apprenticeship outcomes and skilled-workforce capacity.

Requirements

  • Experience in registered apprenticeship or apprenticeship policy
  • Experience in workforce development or Career Pathways
  • Experience in labor economics or applied microeconomics
  • Experience in employer hiring or workforce incentives
  • Experience in education-to-workforce transitions
  • Experience in state or federal workforce policy
  • Experience in quasi-experimental policy evaluation
  • Experience with administrative labor-market data
  • Difference-in-Differences
  • Modern event-study methods
  • Synthetic control
  • Regression discontinuity
  • Instrumental variables
  • Panel-data methods
  • Causal inference
  • Experience with datasets such as RAPIDS, CPS, ACS/PUMS, QWI/LEHD, OEWS, QCEW, or other Department of Labor/Census administrative data
  • Demonstrated applied research experience
  • Experience working with large administrative or longitudinal datasets
  • Proficiency in R, Stata, Python, SQL, or comparable research tools
  • Strong written communication and methodological judgment

Nice To Haves

  • Academic affiliation

Responsibilities

  • Refining the research question and causal estimand
  • Evaluating treatment and comparison-group design
  • Difference-in-Differences, event-study, synthetic-control, or related quasi-experimental analysis
  • Working with RAPIDS / Apprenticeship.gov and other administrative datasets
  • Integrating BLS, Census, state workforce, and labor-market data
  • Reviewing methodology and threats to identification
  • Contributing to grant proposals and pre-analysis plans
  • Conducting or supervising empirical analysis if the project is funded
  • Contributing to academic manuscripts, research reports, and policy publications
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