"One-Third" Faculty Structure
The institute combines a "one-third" faculty structure with the Triple Mentorship system. The first cohort plans to recruit 20 core full-time faculty.
1/3 Academic Faculty
Responsible for foundational theory and frontier research. Full-time faculty in AI, vehicle engineering, computing, and related fields with strong scholarly and research capability.
1/3 Industry Expert Faculty
Lead core major courses and project guidance. Senior engineers from Geely Research Institute's autonomous driving division, vehicle institute, testing centers, and more.
1/3 Senior Engineers / Researchers
Responsible for lab development, practice teaching, and technical support—covering perception, decision, control, testing, system integration, and mass-production development.
Triple Mentorship in Detail
A mentor-group accountability model: every 3–5 students share one academic mentor + one industry mentor + one AI mentor as a dedicated practice mentor group.
Academic Mentor (On-campus Faculty)
- Build practice teaching theory frameworks and course practice plans
- Guide students in mathematical foundations, algorithm principles, and system architecture for autonomous driving
- Supervise academic research, thesis writing, and patent filings
- Cultivate scholarly thinking and innovative research capability
- Collaborate with industry mentors on project goals and technical roadmaps
Industry Mentor (Geely Engineers / Partner Experts)
- Provide real Geely Research Institute projects, industry standards, engineering workflows, and testing norms
- Guide students through requirements analysis, solution design, development, debugging, and test validation
- Share hands-on skills, mass-production experience, and problem-solving methods
- Connect students with real engineering scenarios and industry role requirements
- Participate in practice evaluation and project defenses from an industry perspective
AI Mentor (Xinwei Mixian Agent)
- Build autonomous driving simulation platforms and project training knowledge bases
- Provide 24/7 Q&A, operational guidance, and simulation testing support
- Analyze practice data and competency gaps
- Push personalized training content, project tasks, and learning resources
- Assist with project management, progress tracking, and outcome assessment
Mentor Collaboration Mechanisms
- Regular "Triple Mentor Joint Meetings" to sync practice progress, solve project challenges, and refine teaching plans
- Inter-mentor platforms enabling academic mentors to take temporary posts at Geely Research Institute
- Industry mentors contribute to curriculum development, mutually strengthening practice teaching capacity
- Students select mentor groups via a research rotation system near the end of Year 2
Mentor Role Growth Path
Across four years, mentors shift roles—from hands-on coaching to "you lead, we assure"—evolving from executors to enablers.
| Stage | Role | Positioning | Core Tasks |
|---|---|---|---|
| Years 1–2 | Coach | Academic initiation coach | Academic foundations, learning methods, AI tool onboarding, mindset and habit formation |
| Years 2–3 | Integrator | Cross-domain integrator | Knowledge system integration, resource coordination, advanced AI tools, team and project collaboration |
| Years 3–4 | Facilitator | Growth enabler | Independent capability, project delivery, deep AI enablement, career/further study planning |
| Year 4 | Master | Steward and gatekeeper | Hand over project ownership, assure outcome quality, guide long-term growth, define AI application boundaries |