Attention Machine Learning and AI enthusiasts! The Transportation Engineering program at the University of Florida is seeking to recruit 2 PhD. Candidates in Transportation Engineering at the Department of Civil and Coastal Engineering for two fully funded scholarships for the Fall 2024 or Spring 2025 semester.
Details:
The successful candidates are expected to study one or more of the following topics (or related topics that fit their own interests):
• Machine learning and AI applications in transportation
• Multimodal transportation (e.g., public transit, shared mobility, and shared micromobility)
• E-mobility (e-bikes, electric cars, e-scooters, and e-buses)
• Computational social science, data analytics (e.g., GPS data), and digital twin modeling/simulation • Spatial accessibility to essential destinations such as food and healthcare
Eligibility and Qualifications:
Qualified candidates should have solid data analysis and programming (e.g., Python/R) skills and a strong interest in applying these skills to understand and solve transportation and urban issues.
Students with knowledge in statistics/ econometrics, machine learning/AI, and GIS are especially encouraged to apply. We welcome students from various educational backgrounds, including but not limited to, civil/transportation engineering, geography, computer science, and statistics, and urban planning.
Application procedure:
To express your interest in joining the team, please email your CV, a short cover letter, and a writing sample (at least five pages) to Dr. Xiang ‘Jacob’ Yan ( xiangyan@ufl.edu ). Students are encouraged to share their Github account if they have one.
For future information, visit the official page