Research Fellow (Urban Mobility)

Job Description

Postdoctoral researcher positions are funded in the areas of urban mobility and smart city. The postdoctoral researchers will work with PI and co-PIs in the Department of Civil and Environmental Engineering and the Department of Industrial System Engineering and Management.

The research project aims to develop data-driven and learning-based methodology frameworks for urban mobility management. It is expected to deliver intelligent decision tools through reinforcement learning, simulation, and optimization techniques. Strong expertise in traffic simulation, mathematical programming, and learning-based optimization is required. The postdoctoral researcher will lead funded research projects, supervise research students, and write research proposals and reports.

Qualifications

•    Possess a PhD degree (transportation engineering, operations research, computer engineering/science, or related disciplines)
•    Strong interests and expertise in traffic simulation, statistical modeling, mathematical programming, reinforcement learning, and optimization
•    Strong written and oral communication skills
•    expertise and work experience in traffic simulation software and programming with at least one language, e.g., Python, Java, or C++
•    Open to fixed term contract

More Information

Location: Kent Ridge Campus

Organization: College of Design and Engineering

Department : Civil and Environmental Engineering

Employee Referral Eligible: No

Job requisition ID : 24374