OpenFieldTUS Photocatalysis International Research Center Summer Research Practicum in AI for Materials Discovery
Eight-week research internship applying graph neural networks and density functional theory (DFT) high-throughput screening to discover novel oxide photocatalysts for hydrogen generation.
Application checklist & requirements
These requirements reflect published university guidelines available at the last review. Review official department guidelines before submission.
- Academic degree / Prerequisites
- Postgraduate student in computational chemistry, physics, or data science
- English language proficiency
- Fluency in English
- Standardized testing (GRE/GMAT)
- Not required
- Thesis / Research statement
- Hands-on laboratory, project, or software portfolio in computer-science
- Recommendation letters
- Two academic recommendation letters
How much will it cost? How much funding is available?
- Financial support / stipend
- ¥150,000/month living stipend + university international house dormitory room in Noda campus
- Application fee
- ¥0
- Tuition / joining costs
- Fully subsidized training fellowship
Dates and verification
- Application deadline
- February 15, 2027 (Summer 2027 internship)
- Last source review
- 2026-10-15
Important verification note
Facts reflect official Tokyo University of Science documentation reviewed 2026-10-15. Admissions, funding allocations, and eligibility thresholds are evaluated by the university.
Reviewed 2026-10-15 · Editorial standards · Report an issue