Apply to become a research assistant, lab member, technical handler, or visiting researcher. Our lab is
building trustworthy and reproducible machine intelligence for real-world clinical impact.
Support active projects across
machine learning, medical informatics, and reproducible AI. Ideal for graduate or advanced undergraduate
researchers with strong coding and analytical skills.
Collaborate on experiment design and data analysis
Implement models and automate evaluation pipelines
Prepare documentation and reproducible research artifacts
Preferred
background: Python, ML frameworks, statistics, healthcare data.
Join the core research team and
contribute to ongoing publications, code releases, and lab initiatives. Suited for self-motivated students
or professionals who want hands-on research experience.
Participate in weekly lab meetings and research reviews
Drive experiments, reporting, and collaborative writing
Help maintain reproducible workflows and data assets
Preferred
background: research collaboration, software skills, scientific communication.
Collaborate with CIMILab on
specific research projects or short-term initiatives. Visiting appointments are ideal for researchers with
complementary expertise.
Engage in focused research collaborations
Contribute to joint publications and technical reports
Share domain knowledge across our research agenda
Preferred
background: demonstrated research record, collaborative partnerships, domain expertise.
A
high-quality application has clarity, relevance, and care.
Send your application to deycimilab@gmail.com with a clear
subject line and the documents below. We prioritize candidates who explain how their skills map to our
lab's research agenda.
Subject line: Role title + your name (e.g., "Research Assistant Application - Jane
Doe").
CV / Resume: Emphasize research projects, technical skills, and relevant
coursework.
Cover note: Describe your motivations, preferred role, and how you can contribute
to CIMILab.
Supporting documents: transcripts, portfolio links, relevant publications, or code
samples.
If you have multiple role interests, mention your top two preferences and why
each is a good fit. Applications are reviewed on a rolling basis.
Impact
Trustworthy AI for healthcare
Work on machine intelligence that matters in medicine,
from safer models to reproducible research workflows.
Support
Mentorship & collaboration
Join a collaborative environment where technical
excellence and research communication are both valued.
Growth
Skill development
Gain hands-on experience with reproducible ML,
experiment platforms, and real-world research deployment.