The Hong Kong Polytechnic University
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1 week ago
Postdoctoral Fellow in AI for Trustworthy Autonomous Systems The Hong Kong Polytechnic University in Hong Kong
Degree Level
Postdoc
Field of study
Computer Science
Funding
Postdoctoral Fellow position with access to UAV platforms, self-driving testbeds, legged robots, GPU clusters, industry collaboration, support for publishing in top venues, conference travel, and opportunities to co-supervise students. No stipend amount stated.
Country
Hong Kong
University
The Hong Kong Polytechnic University
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About this position
Postdoctoral Fellow in AI for Trustworthy Autonomous Systems at the Trustworthy AI and Autonomous Systems Lab (TAS Lab), The Hong Kong Polytechnic University (PolyU).
The lab works on AI for navigation, multi-sensor fusion, SLAM, uncertainty quantification, integrity monitoring, learning-to-optimize, differentiable factor graphs, trustworthy reinforcement learning, and embodied AI. Application areas include drones, autonomous vehicles, and legged robots, with emphasis on safe, reliable autonomy in dense urban environments.
They are seeking candidates with a completed or near-completed PhD in AI, robotics, computer science, electrical engineering, aerospace engineering, or a related field. Strong publication records in top venues such as NeurIPS, ICML, CVPR, CoRL, ICRA, IROS, T-RO, and RA-L are preferred. Strong Python/C++ skills, plus experience with PyTorch and ROS, are expected; real-robot or field-data experience is a plus.
The role offers access to UAV platforms, self-driving testbeds, legged robots, GPU clusters, industry collaboration, conference travel support, and the chance to co-supervise students. No stipend amount is stated in the post.
To apply, email [email protected] with a CV, a 1–2 page research statement or short slide deck, and representative papers/code/demo videos if available. The position is open until filled.
Funding details
Postdoctoral Fellow position with access to UAV platforms, self-driving testbeds, legged robots, GPU clusters, industry collaboration, support for publishing in top venues, conference travel, and opportunities to co-supervise students. No stipend amount stated.
What's required
A PhD completed or soon to be completed in AI, robotics, computer science, electrical engineering, aerospace engineering, or a related field. Strong publication record in top AI/robotics venues such as NeurIPS, ICML, CVPR, CoRL, ICRA, IROS, T-RO, or RA-L. Strong coding skills in Python and/or C++, with experience in PyTorch and ROS. Hands-on experience with real robots or field data is a plus.
How to apply
Email [email protected] with your CV, a 1–2 page research statement or ~10-slide deck, and representative papers, code, or demo videos if available. Shortlisted candidates will hear back within one week; the position is open until filled.
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