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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.
