Robotics Autonomy Research Engineer

DSO National Laboratories (DSO) is Singapore’s largest defence research and development (R&D) organisation, with the critical mission to develop technological solutions to sharpen the cutting edge of Singapore's national security. At DSO, you will develop more than just a career. This is where you will make a real impact and shape the future of defence across the spectrum of air, land, sea, space and cyberspace.

The Robotics Autonomy Lab In DSO's Robotics Division Develops a Wide Range Of Robotics Autonomy Technologies For Ground, Maritime And Aerial Robots. We Are Looking For Robotics Autonomy Research Engineers To Advance The Frontier Of Robotics Autonomy In These Areas

• Localisation & Calibration: Sensor-based odometry, SLAM, map-based localisation, decentralised collaborative SLAM, multi-sensor calibration
• Perception: Environment mapping, moving object tracking and trajectory prediction, semantic mapping, scene graphs
• Motion Planning & Controls: Trajectory planning and tracking, reinforcement learning for planning and controls
• Mission Autonomy: Learning of behaviours for a single robot or a multi-robot team/swarm to achieve a given task, decentralised task allocation, planning and scheduling.

People are DSO’s greatest asset. You will get to realise your career aspirations and develop your own niche either as a deep technical expert or a leader in the team. With frequent career dialogues and a robust training and development framework, we will provide you with the necessary development tools for you to reach your potential. You will also be recognised and rewarded through competitive remuneration packages and scholarship opportunities.

Robotics Autonomy Research Engineer

In This Role, You Will

• Design, develop and deploy algorithms for different types of ground, maritime and aerial robots
• Conduct research into state-of-the-art techniques for one of the robotics autonomy areas listed above
• Work with software engineers on software integration and testing
• Work closely with the team to perform experimental testing, verification and validation in simulation and field trials

Job Requirements

• PhD / Master's / Bachelor's Degree in Aeronautical Engineering / Computer Engineering / Computer Science / Electrical and Computer Engineering / Mechanical Engineering / Electrical Engineering
• Strong theoretical and applied skills in robotics and machine learning
• Strong programming skills in C / C++ / Python
• Hands-on experience in robotics projects