Publisher
source

The Hong Kong University of Science and Technology

Hong Kong PhD Fellowship Scheme

Fully Funded PhD and MPhil Scholarships in Structural and Construction Engineering at HKUST Hong Kong University of Science and Technology in Hong Kong

Degree Level

Master's, PhD

Field of study

Computer Science

Funding

Fully funded for 4 years for accepted PhD students, with the possibility of nomination for the Hong Kong PhD Fellowship Scheme (HKPFS). The post also announces PhD and MPhil research scholarships in Hong Kong; funding details for MPhil are not specified beyond being fully funded scholarships.

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Country

Hong Kong

University

The Hong Kong University of Science and Technology

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Ongoing program

Hong Kong PhD Fellowship Scheme (HKPFS)

by Research Grants Council of Hong Kong

Fully Funded
PhD
Up To 3 Years, With Possible Additional University Support For Longer PhD Programmes
Hong Kong

The Hong Kong PhD Fellowship Scheme funds outstanding new full-time PhD students from around the world to study at participating universities in Hong Kong.

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Keywords

Computer Science
Machine Learning
Mechanical Engineering
Electrical Engineering
Artificial Intelligence
Civil Engineering
Structural Engineering
Computer Vision
Building Automation
Robotics
Damage Detection

About this position

Fully funded PhD and MPhil research scholarships are available at the Hong Kong University of Science and Technology (HKUST) in the Department of Civil and Environmental Engineering, specializing in Structural and Construction Engineering.

The advertised research themes are highly interdisciplinary and include computer vision for structural damage detection using point clouds, multimodal AI models for analyzing engineering drawings, automation of construction, field monitoring, robotics, robot-friendly modular buildings under earthquakes and winds, and broader applications of artificial intelligence in structural and construction engineering.

Eligible applicants should hold a bachelor’s or master’s degree in Civil Engineering, Mechanical Engineering, Computer Science, Robotics, or a related discipline. Preferred experience includes computer vision, artificial intelligence, vision-language models, PyTorch, OpenCV, Open3D, Hugging Face, reinforcement learning, robotics, UAVs/UGVs, ROS, Isaac Sim, MuJoCo, ManiSkill, AutoCAD, Blender, Rhino3D, Unity, Unreal Engine, OpenSeesPy, Abaqus, ANSYS, and MATLAB.

The post states that PhD students will receive full funding for 4 years, with the possibility of nomination for the Hong Kong PhD Fellowship Scheme (HKPFS). The announcement also mentions MPhil research scholarships. The work location is Hong Kong.

To apply, candidates should email their CV and transcripts to [email protected] and address the message as “Prospective PhD/MPhil student 2027 – [Your Name]”. No deadline was provided, so applicants are encouraged to apply as soon as possible.

Funding details

Fully funded for 4 years for accepted PhD students, with the possibility of nomination for the Hong Kong PhD Fellowship Scheme (HKPFS). The post also announces PhD and MPhil research scholarships in Hong Kong; funding details for MPhil are not specified beyond being fully funded scholarships.

What's required

Applicants should have a bachelor's or master's degree in Civil Engineering, Mechanical Engineering, Computer Science, Robotics, or a related discipline. Preferred experience includes computer vision and artificial intelligence, vision-language models, PyTorch, OpenCV, Open3D, Hugging Face, reinforcement learning, robotics and UAVs/UGVs, ROS, Isaac Sim, MuJoCo, ManiSkill, AutoCAD, Blender, Rhino3D, Unity, Unreal Engine, and structural analysis tools such as OpenSeesPy, Abaqus, ANSYS, and MATLAB.

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