Research Associate (Mechanical Engineering/Robotics/Mechatronics/Automation & Control Engineering/Artificial Intelligence (AI)

ntu; Singapore; On-site; SGD 60,000 - 90,000; Full time

Job summary

NTU's School of Mechanical & Aerospace Engineering is seeking a Research Associate to advance human-like traffic simulation using large-scale real-world data. You will model traffic behaviors, develop scene representations, and validate experiments in physical and simulated environments.

The role requires a Masters in a relevant field with a strong background in autonomous driving, simulation, AI, and automation, plus the ability to publish work in journals and/or conferences.

Qualifications

• Masters degree or higher in a relevant field (see qualifications).
• Experience with autonomous driving, simulation, AI or automation is preferred.
• Strong communication and ability to work independently to advance projects.

Responsibilities

• Work on human-like traffic simulation using large-scale real-world data.
• Model traffic behaviors, scene representations, and prediction with common sense.
• Generate road layouts, initialize traffic agents, and validate results in simulators.

Skills

Autonomous driving

Simulation

AI

Automation

Education

Masters degree in Mechanical Engineering, Robotics, Mechatronics, Automation and Control Engineering, AI

Job description

The School of Mechanical & Aerospace Engineering (MAE) invites applications for the position of Research Associate.

Key Responsibilities

• Work on human-like traffic simulation, with the focus of modeling traffic behaviors from large-scale real-world datasets.
• The work will involve traffic scene representation, behavior modeling with common sense and prediction, generating road layouts, initializing states of traffic agents, rendering in physical simulators, and experimental validation.

Job Requirements

• At least have a Masters Degree in Mechanical Engineering, Robotics, Mechatronics, Automation and Control Engineering, Artificial Intelligence (AI), etc.
• Relevant working experience will be preferred.
• Strong background in autonomous driving, simulator, AI, and automation.
• Good communication skills and the ability to work independently and facilitate projects with minimal supervisiont
• Able to contribute to Journal/Conference papers with good presentation skills
• Able to plan and organize well and adhere to deadlines.

We regret that only shortlisted candidates will be notified.

Hiring Institution: NTU