Independent research agenda
Own a first-author research thread within the lab’s directions—inverse problems, biomedical imaging AI, or embodied perception—from problem formulation to publication.
Students / Doctoral
Tentative · Subject to official DGIST admission guidelinesA full-time doctoral track for students who want to build mathematically grounded AI for biomedical imaging, inverse problems, and embodied perception—and publish first-author work at top-tier venues.
01 / Training
All details on this page are provisional and will be finalized with the official admission cycle.
Own a first-author research thread within the lab’s directions—inverse problems, biomedical imaging AI, or embodied perception—from problem formulation to publication.
Work with real clinical partners (e.g., Seoul National University Hospital) and industry collaborators on funded national projects.
From mathematical theory and algorithm design to reproducible code, large-scale experiments, and manuscript writing for top-tier venues.
02 / Support
Planned support for doctoral students (tentative).
03 / Apply
We welcome applicants from EE, CS, BME, physics, mathematics, and related fields.
Email the PI with your CV, unofficial transcript, and a brief statement (≤ 1 page) on your research interests and why BIFIL is a good fit.
If there is a potential match, we will arrange a meeting to discuss research directions, expectations, and funding.
Submit the official application through the DGIST admission process (Robotics & Mechatronics Engineering). Deadlines follow the university’s admission calendar.