OpenFieldPhD in Machine Learning and Autonomous Systems (TTIC Affiliated)
Three-year doctoral position developing deep reinforcement learning for autonomous vehicle path planning, sensor fusion, and robust neural network verification.
Application checklist & requirements
These requirements reflect published university guidelines available at the last review. Review official department guidelines before submission.
- Academic degree / Prerequisites
- Master of Science or Engineering in Computer Science, Applied Mathematics, or Robotics with distinction
- English language proficiency
- Fluent English communication
- Standardized testing (GRE/GMAT)
- Not required
- Thesis / Research statement
- Master's thesis abstract, CV with code repositories/publications, and 4-page doctoral research proposal
- Recommendation letters
- Two letters from academic mentors
How much will it cost? How much funding is available?
- Financial support / stipend
- Fully funded: ¥220,000/month research stipend plus full tuition waiver and collaboration exchange at TTIC Chicago
- Application fee
- Free
- Tuition / joining costs
- Fully covered by Toyota doctoral grant
Dates and verification
- Application deadline
- February 15, 2027
- Last source review
- 2026-10-15
Important verification note
Facts reflect official Toyota Technological Institute 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