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.

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.

The Robotics Autonomy Lab, Within DSO's Robotics Division, Develops Robotics Autonomy Technologies For Ground, Maritime And Aerial Robots. We Are Looking For Robotics Autonomy Research Engineers To Conduct Research And Develop Technologies In One Or More Of The Following 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, decentralized task allocation, planning and scheduling.

Robotics Autonomy Research Engineer

In This Role, You Will

• Design, develop and deploy algorithms for ground, maritime and aerial robots
• Conduct research into state-of-the-art techniques in one or more robotics autonomy areas
• Collaborate with software engineers on software integration and testing
• Design and conduct experiments to evaluate, verify and validate developed algorithms in simulation and field trials

Job Requirements

• PhD, Master's or Bachelor's degree in Aeronautical Engineering, Computer Engineering, Computer Science, Electrical and Computer Engineering, Mechanical Engineering, Electrical Engineering, or a related discipline
• Knowledge of robotics and machine learning, with experience applying relevant technique to robotics problems
• Proficiency in C,C++ and/or Python
• Hands-on experience developing or implementing robotics projects