Publisher
source

Xin Lou

6 months ago

Industrial Doctorate (DEng) Opening in Autonomous Vehicle Perception at Singapore Institute of Technology Singapore Institute of Technology in Singapore

Degree Level

PhD

Field of study

Computer Science

Funding

Fully supported by the MOE scholarship for four years, with a competitive stipend and full tuition support.

Deadline

Expired

Country flag

Country

Singapore

University

Singapore Institute of Technology

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Keywords

Computer Science
Machine Learning
Electrical Engineering
Information Technology
Deep Learning
Artificial Intelligence
Computer Vision
Robotics
Autonomous System

About this position

Singapore Institute of Technology (SIT) is advertising one Industrial Doctorate (DEng) position in Autonomous Vehicle (AV) Perception under the SIT x NVIDIA AI Centre (SNAIC). The project focuses on building sustainable and robust AV perception systems with direct relevance to real-world autonomous driving and national AI initiatives.

The position is supervised/announced by Xin Lou, Associate Professor at SIT and Adjunct Senior Research Scientist at Illinois Advanced Research Center Singapore (IARCS). The research area is strongly aligned with computer vision, deep learning, robotics, and applied machine learning for autonomous systems.

This is a fully supported doctoral opportunity funded by the MOE scholarship for four years, including a competitive stipend and full tuition support. The student will start from September 2026 and will be awarded a Doctor of Engineering (DEng) degree upon graduation.

Ideal applicants should have a strong background in Computer Vision, Deep Learning, or Robotics, with proficiency in Python and ML frameworks such as PyTorch or TensorFlow. Interest in robust AI and autonomous systems is emphasized, and both fresh graduates and professionals with relevant experience are welcome.

To apply, interested candidates should contact Xin Lou directly by email or DM and send a CV. No formal application portal or deadline is stated in the post.

Funding details

Fully supported by the MOE scholarship for four years, with a competitive stipend and full tuition support.

What's required

Applicants should have a strong background in Computer Vision, Deep Learning, or Robotics. Proficiency in Python and machine learning frameworks such as PyTorch or TensorFlow is expected. A keen interest in robust AI and autonomous systems is preferred. Fresh graduates and professionals with relevant experience are welcome.

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Singapore

Research Interests

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