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Job Description

Overall Role

Develop algorithms and software for robot perception, defect detection, SLAM, and onboard navigation.

Key Responsibilities

A. ML for Defect Detection

• Implement deep-learning models (CNNs, transformers, multi-modal architectures) for crack/defect detection from camera and LiDAR/RGB-D data.

• Curate datasets and annotation frameworks.
• Perform model optimisation for embedded inference.

B. Perception & 3D Mapping

• Develop and test SLAM, dense reconstruction, and multi-sensor fusion pipelines (LiDAR + IMU + RGB).
• Implement online mapping, loop closure, and environmental modelling relevant to pipeline environments.

C. Robot Navigation Software

• Assist in developing navigation stacks including localization, mapping, path planning, and traversability estimation.
• Support integration on ROS/ROS2 frameworks and real-time system testing.

Qualifications

Qualifications

• Master's in Computer Engineering, Computer Science, Robotics, or related field.
• Strong skills in Python/C++, computer vision, ML frameworks, ROS, and SLAM libraries.
• Experience with real-world data collection and embedded computing is an advantage.