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Hamad Bin Khalifa University

HBKU PhD Scholarship

PhD Scholarship in LiDAR-Based Localization and Georeferencing at Hamad Bin Khalifa University Hamad Bin Khalifa University in Qatar

Degree Level

PhD

Field of study

Computer Science

Funding

Available

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Country

Qatar

University

Hamad Bin Khalifa University

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Keywords

Computer Science
Spatial Analysis
Computer Vision
Sensor Fusion
Robotics
Embedded System
Autonomous System
Mechatronics

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About this position

Hamad Bin Khalifa University in Qatar is seeking a PhD candidate to join a research team working on an innovative independent localization and georeferencing system based on high-resolution LiDAR datasets.

The doctoral research will address the processing of LiDAR point clouds and the creation of accurate 3D maps for autonomous localization. The project includes methods such as simultaneous localization and mapping (SLAM), scan matching, and map-based localization, with emphasis on developing systems that can operate independently in complex environments.

The research combines robotics, mechatronics, and multimodal sensor fusion, particularly the integration of LiDAR and inertial measurement unit (IMU) data. The candidate may also work across computer vision, geospatial analysis, embedded systems, and robotic software development using Python, C++, and ROS 2.

This opportunity is suited to a practically oriented researcher interested in developing and deploying autonomous localization systems, with a research environment centered on LiDAR-based mapping, navigation, and intelligent sensing.

Funding details

Available

What's required

Applicants should have strong expertise in LiDAR point-cloud processing and 3D mapping, SLAM, scan matching, map-based localization, robotics, mechatronics, LiDAR/IMU sensor fusion, Python or C++ programming, ROS 2, computer vision, geospatial analysis, and embedded systems. Strong hands-on experience developing and deploying autonomous localization systems is highly desirable. Candidates are asked to submit a CV.

How to apply

Interested candidates should send their CV to the opportunity poster via LinkedIn direct message. The post does not provide a formal application portal or deadline.

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