Xin Lou
6 months ago
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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
Singapore
University
Singapore Institute of Technology
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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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Professors
Associate Professor
Singapore
Research Interests
Power System
Cybersecurity
Delay Analysis
Network Security
Time-delay Systems
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Prepare your application
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