Student Recruitment 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 Special Selection for International Students, while General Selection is conducted only for Spring enrollment. 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
  • Contribution to planetary health
  • Achievement of 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 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 medical or engineering field
  • Expertise in a research area
  • Motivation for international research

Laboratory Characteristics

Goal: Master's Program

  • Publication as first author in English peer-reviewed journals with impact factor of 3 or higher

Goal: Doctoral Program

  • Publication as first author in English peer-reviewed journals with impact factor of 10 or higher

Research Style

  • Weekly individual meetings and group meetings
  • Otherwise, flexible research hours
  • Environment emphasizing independence
  • Possibility to dedicate one day per week to clinical work or skill development, adjustable based on individual circumstances

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

  • Meeting the university's 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 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 based on individual meetings.

You can engage in practical research utilizing over 3 million real-world data records and the latest research environment.

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 feel free to contact us through the form. We look forward to researching together with you.