The Workforce Intelligence Fellows Program.
A research collaboration for graduate students, PhD candidates, and applied researchers working on construction labor markets, workforce economics, and operational workforce measurement. Fellows contribute to live research questions and help strengthen how the lab measures and reports.
Fellows work with one of the largest construction data foundations assembled — 435M+ workforce signals, 19.5M+ permit records, and 244K+ monitored licensed contractors across all 50 states.
Three research tracks within the program.
The fellows program includes three tracks — each grounded in the lab's applied workforce intelligence mission. Track selection is based on research background, professional experience, and the specific questions you want to work on.
Research Fellows
Applied workforce research across construction labor markets, workforce measurement, methodology development, and data synthesis. The core research track — for researchers working on labor economics, construction workforce dynamics, compensation analysis, and workforce planning.
Target backgrounds: Construction management, labor economics, workforce studies, workforce policy research, applied labor data science.
Executive Fellow
Operational Interpretation & Workforce Planning InsightA WIL fellowship track for experienced construction industry operators, workforce planning leaders, and senior practitioners who contribute operational judgment to the lab's workforce intelligence research — grounding directional analysis in contractor reality.
Target backgrounds: Construction operations leadership, workforce planning practitioners, labor relations, sector-specific construction operators, compensation and talent strategy leaders.
Predictive Analytics Fellow
Workforce Forecasting & Labor AnalyticsA specialized WIL fellowship track for analytically oriented researchers working on workforce forecasting support, labor trend modeling, and probabilistic interpretation of construction workforce signals.
Target backgrounds: Predictive analytics, labor economics, operations research, econometrics, statistics, forecasting systems, workforce analytics, business analytics.
Eight disciplines we recruit across.
Fellows join from the fields that make construction workforce intelligence rigorous — economics, data science, engineering, and policy. We look for depth in one and curiosity across the rest.
Labor Economist
Models construction labor supply, wage dynamics, and scarcity across regional markets — the backbone of the lab's availability and compensation reads.
Regional Economist
Maps how metro- and state-level economic conditions drive construction hiring demand, migration, and where the workforce concentrates.
Industrial / Construction Economist
Connects sector investment — data centers, power, reshoring — to the construction labor it demands, market by market.
Data Scientist
Builds the models, classifiers, and entity resolution that turn 435M+ workforce signals into directional intelligence.
Workforce Research Fellow
Runs applied studies on labor availability, fill-time, and workforce measurement — turning raw signal into published findings.
Public Policy / Workforce Development Fellow
Examines apprenticeship pipelines, workforce-development funding, and the policy levers shaping skilled-trades supply.
Civil Engineer
Grounds the lab's reads in real project delivery — scope, sequencing, and the field roles that constrain execution.
Energy Systems Researcher
Tracks grid interconnection, data-center power demand, and the energy build-out driving the next wave of construction labor.
A collaboration for researchers and practitioners.
The program is research-oriented and selective. All three tracks are built around serious work on labor markets, workforce measurement, and workforce planning — not a general internship or advisory honorific.
- Graduate students in construction management, economics, or workforce studies
- PhD candidates researching labor markets, hiring, or workforce supply
- Applied researchers and data scientists working on labor measurement
- Workforce development and labor-policy researchers
- Experienced construction operators and workforce planning leaders with practitioner-level insight into labor market realities
- Analytically oriented researchers in forecasting, econometrics, or operations research with interest in construction labor markets
Real research questions.
Fellows contribute to live inquiries and help strengthen how the lab measures, interprets, and reports construction workforce conditions. Work spans all three tracks — drawing on a 2.3M+ contractor license spine and 1.9M+ scored construction companies.
Applied research questions
Contribute to active inquiries on labor supply, compensation movement, scarcity, and workforce planning.
Methodology development
Help refine how the lab measures workforce conditions and scores its frameworks.
Data synthesis
Work with public labor data and AlphaHire market observations to build directional reads.
Publication collaboration
Co-develop research notes and analysis published through the lab.
Operational interpretation of intelligence outputs
Review directional reads from WEI, CVF, and PERM™ against real contractor experience — flagging where outputs align or diverge from field conditions.
Workforce planning framework input
Contribute practitioner judgment to how the lab models workforce sequencing, bench strategy, and staffing timing across project types.
Workforce trend modeling
Develop or extend time-series models that interpret labor market trends across construction sectors and regional markets.
Compensation trend analysis
Build analytical frameworks that identify wage movement direction, velocity, and dispersion — supporting CVF signal interpretation.
Collaborative, flexible, research-first.
Fellowships are structured to fit serious academic and professional schedules — collaborative by design, published with attribution, and grounded in the lab's framework methodology.
Project-based collaboration
Fellows work alongside the lab on defined research questions over a set term, with flexibility around academic and professional schedules.
Published research
Strong work is developed into research notes and analysis published through the lab, with appropriate attribution.
Data & methodology
Fellows work with public labor data, AlphaHire market observations, and the lab's framework methodology — including WEI, CVF, and PERM™.
Interested in a fellowship?
Inquiries are reviewed on a rolling basis. Indicate which track you are interested in — Research Fellow, Executive Fellow, or Predictive Analytics Fellow — and include a short note on your background and what you want to work on.
Or copy the address: fellows@alpha-hire.com
- Name
- Institution, organization, or firm
- Background / role
- Fellowship track interest (Research Fellow, Executive Fellow, or Predictive Analytics Fellow)
- LinkedIn or profile URL
- A short note on your research interests or operational background
Explore the rest of the lab.
The fellows program sits alongside the lab's methodology, frameworks, and research library — and the advisory councils and research partnerships that extend it.
More from the lab: Advisory Councils · Research Partnerships