Job Openings

What you'll do

• Work as one research team, with each assistant leading one review and contributing to the other two.
• Begin by learning about the ethical and responsible use of AI in evidence synthesis; evaluate tools, limitations, accuracy, bias, and research integrity.
• Develop review questions and transparent protocols; select suitable methods (e.g., scoping, systematic mapping, systematic review, or meta-analysis where appropriate).
• Search, screen, organize, critically appraise where appropriate, and synthesize scholarly literature.
• Document methods and AI use, verify AI-assisted outputs against original sources, and maintain reproducible research records.
• Identify major themes, methodological patterns, knowledge gaps, and future research directions.
• Co-write, revise, and prepare three manuscript drafts for review.

What we're looking for

• Graduate students in engineering, education, or related fields.
• Interest in HCD, engineering education, higher education, public administration, public policy, learning sciences, or related fields.
• Experience in conducting literature reviews.
• Strong analytical, organizational, collaboration, and writing skills.
• Willingness to learn research methods and critically assess AI tools; prior evidence synthesis experience is helpful but not required.

Why join us:

Hands-on experience with rigorous literature review methods, responsible AI-supported research, interdisciplinary HCD scholarship, collaborative analysis, and academic writing. Students may contribute to peer-reviewed publications; authorship will be determined by substantive contributions and applicable scholarly standards.