Adjunct / Affiliated Research Faculty - NSF STEM Education & Workforce
- Status
- Open
- Remote policy
- Remote
- Employment type
- Not stated
- Salary
- Not stated
- Categories
- Research-Faculty, STEM-Researcher, Learning-Sciences-Research, Grant-Writer, Education-Researcher, STEM-Educator, Education
- Source
- himalayas
- First observed
- 2026-10-05 10:29 UTC
- Last seen
- 2026-10-05 10:29 UTC
- Source claims posted
- 2026-10-05 10:22 UTC
- Consecutive misses
- 0 of 10
What the posting says
About AlphaHire Workforce Intelligence Lab (WIL)
The AlphaHire Workforce Intelligence Lab (WIL) is an applied research initiative studying how workforce conditions influence delivery of mission-critical investments and public programs. WIL builds methodology-transparent workforce intelligence and STEM education and workforce research partnerships with universities, community colleges, and K-14 partners — packaged for grant and sponsored-research pursuits.
Learn more:
We engage experienced researchers and practitioners for both full-time employment and project-based contract roles, depending on the award and staffing model. Engagements are remote-first with travel as required for partner campuses, school districts, and field sites. We build ready teams for live grant and sponsored-research pursuits — not speculative staffing banks.
This opportunity is contingent upon grant or sponsored-project award and final staffing approval. Permission will be requested before including a candidate's name or resume in a proposal or funding package.
WIL is seeking Adjunct / Affiliated Research Faculty in STEM education and workforce domains — including engineering education, computer science education, teacher research experiences, technician education pathways, and related STEM learning and workforce research — to serve as research collaborators, co-investigators, or content leads with university and community-college partners on WIL-aligned sponsored projects.
What you'll do:
Contribute STEM education or engineering/CS education research design, methods, and scholarly framing for university-hosted sponsored projects
Collaborate with institutional PIs, school-district or community-college partners, and WIL research leads on research questions, curricula translation, and broader-impacts narratives
Support K-14 educator research-experience models, classroom/curriculum follow-on, and workforce pathway documentation when the project design calls for it
Produce high-quality written products — literature framing, methods sections, evaluation plans, progress reports, and past-performance narrative — suitable for NSF-style and related education packages
Contribute specialist qualifications and citeable past projects to WIL grant and sponsored-research packages when permissioned
Requirements
Required:
Doctorate or equivalent scholarly credentials in engineering education, STEM education, computer science education, learning sciences, or a closely related field — or substantial faculty-equivalent research experience in those domains
Demonstrated record of STEM education, teacher professional development, technician education, or engineering/CS education research (publications, funded projects, or citeable institutional roles)
Ability to collaborate with university or community-college sponsored-research teams and K-14 or industry education partners
Open to full-time employment or project-based contract engagement; remote-first with travel as partner and field work requires
Nice to have:
Prior NSF STEM education, RET Site, ATE, RIEF/RFE, IUSE, or related education-research experience as PI, co-PI, senior personnel, or key collaborator
Experience mentoring engineering faculty new to education research, or translating authentic research into K-14 classroom practice
Prior projects you can cite (agency or institution, your role, year)
Originally posted on Himalayas
Quality
- x Salary range stated weight 35%
- + Remote policy stated weight 20%
- + Location stated weight 15%
- + Organisation stated weight 15%
- + Publication date stated weight 15%
Not enough history yet to judge honesty signals.
Timeline
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#1181743 2026-10-05 10:29 UTCPublished