Research Associate, Autonomous Systems & Learning Control

NANYANG TECHNOLOGICAL UNIVERSITY; Singapore; On-site; SGD 77,000 - 115,000; Full time

Job summary

NTU's School of Electrical and Electronic Engineering invites applications for a Research Associate in Autonomous Systems and Control. The selected candidate will develop efficient, performance-guaranteed distributed control methods leveraging cutting-edge learning algorithms and AI techniques.

The role includes conducting high-quality research, publishing in leading journals, and contributing to pedagogical innovation research to enhance learning in the Modelling and Control course,

Qualifications

• Master degree in Electrical Engineering, Computer Science, Mechanical Engineering or related fields.
• Solid mathematical and programming skills.
• Strong expertise in control theory.
• Strong publication track record.
• Self-motivated and takes initiative.
• Independent and can work well with a team.
• Ability to adapt to changing priorities.
• Good written and oral communication skills.

Responsibilities

• Conduct advanced research in autonomous systems, learning-based control, and pedagogical innovation for Modelling and Control.
• Develop and implement novel distributed control strategies for networked cyber-physical systems.
• Publish high-quality research findings in leading international journals.
• Prepare reports and related documentation for pedagogical innovation projects aimed at enhancing the learning experience in Modelling and Control.

Skills

Mathematics

Programming

Control theory

Publications

Initiative

Teamwork

Adaptability

Communication

Education

Master's degree (EE/CS/ME or related)

Job description

NTU's School of Electrical and Electronic Engineering invites applications for a Research Associate in Autonomous Systems and Control. The selected candidate will develop efficient, performance-guaranteed distributed control methods leveraging cutting-edge learning algorithms and AI techniques.

The role includes conducting high-quality research, publishing in leading journals, and contributing to pedagogical innovation research to enhance learning in the Modelling and Control course,