Research Fellow | Intelligent Transportation & CAVs

National University of Singapore; Singapore; On-site; SGD 60,000 - 90,000; Full time

Job summary

National University of Singapore is seeking a Research Fellow (Transportation) with a focus on traffic operations, traffic control, simulation and connected/autonomous vehicles. The role requires leading high-quality research in ITS and related areas, including traffic flow theory, vehicle dynamics, ML/AI, and data privacy and security.

The successful candidate will also draft research proposals and supervise graduate and undergraduate students, contributing to collaborative projects across

Qualifications

• PhD in Civil Engineering, Mechanical Engineering, Electrical Engineering, or related field
• Strong ITS research with publication record
• Good programming and analytical skills
• Expertise in control theory, optimization, game theory, and AI is highly preferable
• Good technical proposal writing and presentation skills
• Ability to plan and organize well and meet deadlines
• Able to perform research in a multidisciplinary team
• Excellent written and spoken communication skills
• Open to fixed-term contract

Responsibilities

• Lead and pursue high-quality research on intelligent transportation systems
• Draft research proposals for funding and collaborations
• Supervise graduate and undergraduate students

Skills

Publication record in ITS

Programming skills

Analytical skills

Control theory

Optimization

Game theory

AI

Proposal writing

Presentation skills

Team collaboration

Communication skills

Education

Doctoral degree

Job description

Job Title: Research Fellow (Transportation)

University-Level Unit: College of Design and Engineering

Faculty/Department-Level Unit: Civil and Environmental Engineering

Employee Category: Research Staff

Location_ONB: Kent Ridge Campus

Posting Start Date: 21/09/2026

Job Description

We have an opening for a Research Fellow (Transportation) in areas related to traffic operations, traffic control, simulation, and connected and automated vehicles (CAVs).
The selected candidate is required to lead and pursue high-quality research on intelligent transportation systems, including but not limited to (1) traffic flow theory, (2) traffic control in urban and highway contexts, (3) vehicle dynamics and control, (4) machine learning and AI, and (5) data privacy and security.

In addition to research, the selected candidate is expected to help draft research proposals and supervise graduate and undergraduate students.

Job Requirements

• Possess a Doctoral degree in Civil Engineering, Mechanical Engineering, Electrical Engineering, or other closely related fields
• Research experience in Intelligent Transportation Systems with excellent publication record
• Good programming and analytical skills
• Expertise in control theory, optimization, game theory, and AI is highly preferable
• Good technical proposal writing and presentation skills
• Able to plan and organize well and adhere to the deadline
• Able to perform research in a multidisciplinary team.
• Good written and spoken communication skills.
• Open to fixed-term contract.