Job Description

The Research Fellow will work on a research project related to future transportation network modelling and optimization with autonomous vehicles (AVs) and human-driven vehicles (HVs). The project will mainly focus on the following three research topics: road capacity analysis, travel behaviour modelling, and dedicated AV lane planning and accessibility management. To in-depth understand the implications of introducing heterogeneous AVs into road capacity, the first work package (WP) of this project is to examine the uncertainty in road capacity. The second WP of this project aims to analyse user travel behaviour under mixed AV-HV scenes and formulate equilibrium mode/route choices of AV and HV users. To make effective and safe AV operations in an urban transportation network, the third WP of this project focuses on dedicated AV lane planning and accessibility management with the aid of the route choice models.

Job Requirements

• PhD in Transportation or Automation related subjects
• Research experience in urban transportation network modelling and optimization.
• Ability to sophisticatedly use at least one programming language, e.g., Python, C# and C++.
• Excellent interpersonal and communication skills.
• Good team work and leadership, self-manage and motivated, with minimum supervision.
• Excellent written and spoken communication.
• Open to fixed-term contract.

Prioritized Requirements:

• Good publication record in international leading transportation research journals.

More Information

Location: Kent Ridge Campus
Organization: College of Design and Engineering
Department: Civil and Environmental Engineering
Employee Referral Eligible: No
Job requisition ID: 21146

Times Higher Education