Join Our Lab
We welcome undergraduate and graduate researchers, as well as academic collaborators, interested in AI, engineering education, and decision support.
We value diversity of perspective and background, and we encourage students and collaborators from across engineering, computing, education, and social science domains.
Students
Undergraduate research assistants
Undergraduate RAs contribute directly to funded and seed projects. Typical work includes data collection, qualitative coding, NLP-assisted analysis workflows, literature synthesis, and team research meetings.
- Best fit: students with interests in AI, NLP, engineering education, or decision support
- Commitment: semester-long participation with regular check-ins and progress reporting
- Outputs: reproducible analysis artifacts, brief writeups, and presentation support
To apply, send a short email with your resume, relevant coursework, weekly availability, and a brief statement of research interests.
Graduate Pathway
Graduate students
We seek graduate researchers interested in AI-enabled methods, engineering education, and complex decision-making. Graduate students typically lead subprojects and contribute to publications.
- Strong methodological grounding in qualitative, computational, or mixed methods research
- Interest in manuscript development, conference papers, and proposal writing
- Ability to work collaboratively across interdisciplinary teams
Prospective graduate students should share a CV, research statement, and examples of prior work (papers, repos, or project summaries).
Academic Partnerships
Collaborations and co-authored work
We welcome collaborations with faculty and research teams across institutions. Common collaboration models include co-authored studies, grant partnerships, and joint methods development.
- AI and NLP workflows for qualitative and mixed methods research
- Engineering education studies and classroom implementation research
- Decision support, policy analysis, and sustainable systems contexts
For collaboration inquiries, share your research question, available data, timeline, and anticipated outputs (paper, proposal, toolkit, or workshop).
Ready to start?
Email Dr. Katz at [email protected] or use the Contact page to begin the conversation.