The main role is in the research and development of navigation and path planning strategies for ship hull and similar inspection with a hover capable Autonomous Underwater Vehicle.

Description

The role will entail the following job scope:

– Research and implement perception and fusion algorithms utilising camera and sonar.

– Research and implement localisation algorithms fusing multiple navigation and sensor sources with SLAM or similar techniques.

– Implement navigation and path planning algorithms for ship hull navigation.

– Integration of robotics stack with the software architecture.

– Test and debug of robotics algorithms in software in the loop simulation.

Qualifications

– PhD/Msc in Computer Engineering or Computer Science.

– Research or industry experience writing code for complex robotic systems.

– Experience with Robot Operating System framework.

– Experience with perception and fusion algorithms and libraries including Open-CV, Point-cloud library, Tracking filters, Computer vision techniques.

– Experience with AI, deep learning and machine learning algorithms such as YOLO and Faster RCNN.

– Experience with SLAM for localisation methods.

– Experience with path planning algorithms such as A*.

– Proficient in Python and C++.

– Proficient in Linux.

Please apply via the following link:

https://nuscareers.taleo.net/careersection/nusep/jobdetail.ftl?job=00DTJ