Focused research project
Contribute to one of the lab’s funded projects—biomedical imaging AI, inverse problems, or embodied perception—and complete a thesis-ready body of work.
Students / Master's
Tentative · Subject to official DGIST admission guidelinesM.S.
Program.
A two-year research-oriented master’s track combining coursework with a thesis project in biomedical imaging AI, inverse problems, or embodied perception—ideal preparation for either industry R&D or a Ph.D.
01 / Training
What you will do.
All details on this page are provisional and will be finalized with the official admission cycle.
Hands-on engineering skills
Build strong foundations in deep learning systems, scientific computing, and reproducible research practices with real clinical and robotic datasets.
Publication & next step
Target a workshop or conference paper during your studies, with a clear path toward industry R&D or continuation into the Ph.D. program.
02 / Support
Funding &
environment.
Planned support for master’s students (tentative).
Financial support
- Tuition support (tentative)
- Monthly research stipend from funded projects
- Conference travel support for accepted papers
Research environment
- GPU computing resources for experiments
- Access to clinical imaging datasets through active collaborations
- Regular 1:1 mentoring and group seminars
After the M.S.
- Preparation for industry research & engineering roles
- Smooth continuation into the lab’s Ph.D. track
- Recommendation and networking support
03 / Apply
How to apply.
We welcome applicants from EE, CS, BME, physics, mathematics, and related fields.
Get in touch
Email the PI with your CV, unofficial transcript, and a short statement describing your background and interests.
Discussion & interview
If there is a potential match, we will arrange a meeting to discuss thesis topics, expectations, and funding.
Official admission
Submit the official application through the DGIST admission process (Robotics & Mechatronics Engineering). Deadlines follow the university’s admission calendar.