Florida Atlantic University is recruiting funded M.S./Ph.D. students in traffic safety, machine learning, and mobility technologies for Spring 2026. Apply now to join cutting-edge research in the Department of Civil, Environmental & Geomatics Engineering.
🚨 Funded MS/PhD Positions Available – Florida Atlantic University, Spring 2026 Intake
The Department of Civil, Environmental & Geomatics Engineering at Florida Atlantic University (FAU) is excited to announce two fully funded Master’s and Ph.D. positions for research in traffic safety, intelligent transportation systems, machine learning, and emerging mobility technologies. These graduate assistantships are part of a new cutting-edge lab initiative focused on reshaping the future of transportation infrastructure and safety.
🔍 Research Focus Areas:
- Traffic safety and crash analysis
- Machine learning applications in transportation
- Emerging mobility (e.g., connected and autonomous vehicles)
- Traffic flow modeling and simulation
- Traffic control systems and sensor-based monitoring
🎓 Eligibility Criteria:
- Applicants must hold a Bachelor’s degree in Civil Engineering, Transportation Engineering, Computer Science, or a related field.
- Experience in traffic simulation software, flow modeling, transportation data analytics, or sensing technology is highly desirable.
- International applicants should include TOEFL/IELTS scores as applicable.
📅 Start Date: As early as Spring 2026
📬 How to Apply:
Send the following documents in a single email to chengyao09@gmail.com with the subject line:
“Graduate Application – [Your Name]”
- CV (Resume)
- Academic transcripts
- TOEFL/IELTS scores (if applicable)
🚀 Don’t miss this opportunity to work on real-world transportation challenges and contribute to high-impact research in traffic engineering and intelligent systems.
