Research Associate Human Workforce Learning and AI Learning Initiatives

Job Description

Two new initiatives at the Harvard Graduate School of Education (HGSE) jointly seek a full-time Research Associate to support research, partnership development, and programmatic activities across two complementary efforts:

• AI & Learning Initiative, which advances an agenda around AI and human development, with a focus on the science of learning, development, and human thriving.
• Workforce Learning and Artificial Intelligence Initiative (WLAI), which focuses on how adults learn and develop skills in and for work.

This role is split across each initiative (70% AI & Learning, 30% WLAI)

Reporting to WLAI Faculty Director Dr. Tessa Forshaw, and working closely with the AI and Learning Initiative team, collaborators across HGSE, and external organizations, the Research Associate will operate at the intersection of learning science, workforce practice, and AI in education.

• Support the design, development, and testing of AI-learning tools, ensuring they are grounded in the science of learning, development, and human thriving.
• Help translate research and faculty expertise into tool features, content, and user experiences that are practical for educators, parents, policymakers, and technology builders.
• Maintain and update the Lab’s training corpus and underlying AI models, incorporating new content, research findings, and user feedback.
• Coordinate and conduct user research and usability testing with educators, students, and other stakeholders to understand needs, pain points, and opportunities for improvement.
• Collect, analyze, and synthesize user feedback to inform iterative design cycles and revised versions of AI-learning tools.
• Monitor emerging trends, practices, and questions in AI and education to ensure the lab’s tools remain responsive to the field’s evolving needs.

• Conduct and synthesize research on AI in education, developmental considerations, and human-AI interaction in learning contexts.
• Support thought leadership activities (e.g., writing briefs, articles, and presentations) that help shape public and professional conversations about AI and learning.
• Contribute to external-facing content (e.g., website copy, newsletters, slide decks, social media) to share the Lab’s tools, insights, and events with broader audiences.

• Contribute to a focused research agenda on workplace learning and AI in workforce contexts, including literature reviews, synthesis, and applied writing (e.g., briefs, case studies).
• Support design-based and mixed-methods research including study design, protocol development, data collection, and IRB processes.
• Collect and analyze qualitative and quantitative data (e.g., qualitative coding, thematic analysis, descriptive statistics, and basic quantitative methods).

• Support WLAI’s certificate program including coordinating the teaching team, preparing curriculum materials, and gathering feedback from participants and partners.
• Lead or support partnership development and management with employers, workforce boards, training providers, and other organizational partners, including:
  • Serve as day-to-day point of contact for the UNITAR partnership, coordinating scopes of work, timelines, and deliverables.
  • Identifying and cultivating new applied research and programmatic partners.

Basic Qualifications:

• Bachelor’s degree required
• Minimum 4 years of relevant experience (such as research, project/program coordination, consulting, learning and development, workforce development, product or tool development, or related work).
• Experience with basic quantitative methods (e.g., descriptive statistics, linear regression) and statistical software such as R or similar tools.
• Experience coordinating multi-stakeholder projects or programs in education, workforce, or adjacent fields.
• Occasional early morning, evening, or weekend hours may be required to support events, partner meetings, and program activities.

Additional

Qualifications and…