Tentative · Subject to official DGIST admission guidelines

Ph.D.
Program.

A 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.

What you will do.

All details on this page are provisional and will be finalized with the official admission cycle.

01

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.

02

Clinical & industrial collaboration

Work with real clinical partners (e.g., Seoul National University Hospital) and industry collaborators on funded national projects.

03

Full research lifecycle

From mathematical theory and algorithm design to reproducible code, large-scale experiments, and manuscript writing for top-tier venues.

Funding &
environment.

Planned support for doctoral students (tentative).

Financial support

  • Full tuition coverage (tentative)
  • Monthly research stipend from funded projects
  • Domestic & international conference travel support

Research environment

  • GPU computing resources for large-scale experiments
  • Access to clinical imaging datasets through active collaborations
  • Weekly 1:1 meetings and group seminars

Career development

  • Mentorship toward academia or industry research careers
  • Internship and collaboration opportunities with partner institutions
  • Support for fellowships and awards

How to apply.

We welcome applicants from EE, CS, BME, physics, mathematics, and related fields.

  1. Get in touch

    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.

  2. Discussion & interview

    If there is a potential match, we will arrange a meeting to discuss research directions, expectations, and funding.

  3. Official admission

    Submit the official application through the DGIST admission process (Robotics & Mechatronics Engineering). Deadlines follow the university’s admission calendar.