Xin Lou
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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
Full funding availableCountry
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
Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.
How to apply
Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.
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