MILab welcomes prospective Ph.D. students, postdoctoral researchers, research assistants, and current UW undergraduate and M.S. students interested in multimodal AI, embodied intelligence, mobility intelligence, public safety, and reliable deployment. Please complete the MILab Research Interest Form before emailing so we can review research fit, preparation, timeline, and the appropriate pathway.
Current UW students from UW Seattle, UW Tacoma, and UW Bothell can pursue MILab research credit and are encouraged to apply, with instructor approval, through TCSS 499, TCSS 600, TCSS 700, or TCSS 702. Ph.D. applicants should apply through the CSS Ph.D. program; postdoctoral and RA opportunities depend on project fit, funding, and mentoring capacity.
Program routes and research fit
Each pathway follows the relevant UW process. Prospective applicants and UW students are welcome to contact us early to discuss research fit, preparation, timeline, and supervision capacity.
Prospective Ph.D. Students
My primary Ph.D. recruiting pathway is the Computer Science & Systems — School of Engineering & Technology (Tacoma) — PhD program. The MILab form and email correspondence help assess research fit; they do not replace admissions review.
Strong applicants usually bring prior research or substantial systems work, strong writing, technical depth, and a clear connection to MILab research. Funding depends on program decisions, fellowships, sponsored-project fit, and assistantship capacity.
Postdoctoral Researchers
Postdoctoral appointments depend on alignment among the candidate's research agenda, MILab priorities, available funding, project needs, and UW appointment requirements. Searches are posted through UW hiring channels.
Competitive candidates typically bring lead-author publications, sound research judgment, strong implementation and evaluation practice, and a focused agenda that extends MILab work in multimodal AI, embodied AI, rigorous evaluation, or reliable deployment.
Current UW Students
Current UW students may pursue MILab research through research credit, independent study, thesis or capstone projects, project collaboration, or limited RA opportunities when projects, funding, and mentoring capacity are available.
Helpful preparation includes strong programming, Python/PyTorch experience, careful reading habits, substantial relevant coursework, and evidence of open-ended technical research project work. Course registration and credit arrangements follow UW procedures.