Student Recruitment for the 2026 Academic Year - Overview and Information [Master's Program/Doctoral Program]
Schedule
For both Spring and Fall 2026 enrollment, we plan to publish the student recruitment guidelines on the university's admissions information website in late April or early May 2025. Please note that Fall enrollment is available only for international students. Along with the university website publication, we will also update the recruitment details for the Department of Artificial Intelligence in Medicine on this page.
Vision
"Implementing Global Health"
- Development and integration of medical AI
- Contribute to planetary health
- Achieve fairness in medical AI
Research Areas
Major Research Fields
Development of Medical AI Systems
- Clinical research for advanced diagnostics
- Basic research to uncover unknown correlations
Planetary Health
- Utilization of satellite data
- Clarifying connections between the environment and health
AI and Fairness
- Quantifying fairness in AI algorithms
- Reducing bias in AI
Ideal Candidate Profile
Master's Program
All backgrounds welcome
- Medical background: Programming knowledge not required
- Engineering background: Medical knowledge not required
- Other fields also welcome
Qualities we value
- High motivation for academic pursuit
- Enthusiasm for creating new value
- Ability to think independently and make improvements
Doctoral Program
In addition to Master's program requirements
- Specialty in either a medical or engineering field
- Expertise in a research area
- Motivation to engage in international research
Laboratory Characteristics
Goal: Master's Program
- Publication as first author in English-language, peer-reviewed journals with an impact factor of 3 or higher
Goal: Doctoral Program
- Publication as first author in English-language, peer-reviewed journals with an impact factor of 10 or higher
Research Style
- Weekly individual meetings and group meetings
- Environment that emphasizes independence
- One day per week dedicated to clinical work or skill development, based on individual circumstances
- Otherwise, flexible research hours
Practical Research Approach
- Comprehensive experience from data collection to analysis
- Research aimed at implementation in actual medical settings
- Opportunities for international collaborative research
Laboratory Values
- Self-directed learning and research
- Tackling challenging problems
- Knowledge sharing across the team
- Research promotion with an international perspective
Research Environment
- Latest computing infrastructure
- Access to real data from multiple institutions
- Over 3 million diverse data records
- Abundant research themes
- International research network
Recruitment Information and Application
Application Requirements
- Meet the university's admission standards
- Strong motivation for research
- Self-directed learning attitude
Application and Inquiry
>Application and inquiry form is available here
*Note: An interview prior to application is mandatory according to university regulations. Please request an interview through the form above. You will receive a reply email from our laboratory within a few days, so please prepare your resume in advance.
Message
I am Dr. Ueda, the head of the Department of Artificial Intelligence in Medicine.
We are looking for colleagues who share our vision of "Implementing Global Health."
Our laboratory focuses on developing medical AI systems, conducting planetary health research using satellite data, and studying AI fairness.
We engage in a wide range of research, from developing medical AI systems to clarifying the relationship between environment and health.
For the Master's program, we welcome applicants from both medical and engineering backgrounds who are eager to take on new challenges. Programming knowledge is not required for those with medical backgrounds, and medical knowledge is not required for those with engineering backgrounds. What's important is your passion for academia and your ability to think and act independently.
For the Doctoral program, we also value expertise and motivation for international research. In our laboratory, you can develop various skills while advancing your research with one-on-one support.
You can engage in practical research utilizing over 3 million real-world data records and the latest research environments.
There are also numerous opportunities for international collaborative research.
Would you like to join us in tackling global health challenges? If you are interested, please contact us through the inquiry form. We look forward to tackling the most challenging and rewarding research topics together with you.