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Full Time Robotics Mission Research Engineer Jobs, in DSO National Laboratories - Maukerja

Robotics Mission Research Engineer

DSO National Laboratories

Singapore

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Working Location

  • Singapore

Job Description

Responsibilities

Job Description

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 in DSO's Robotics Division develops a wide range of technologies for robotics autonomy. We are looking for a Robotics Mission Research Engineer to design, implement and validate robotics mission autonomy algorithms that enable ground and aerial robots to plan, adapt and execute complex missions in dynamic and communication-constrained environments.

Robotics Mission Research Engineer

In This Role, You Will

  • Design and implement algorithms for mission planning and execution, multi-robot coordination, and task and behaviour planning for different types of ground and aerial robots
  • Conduct research into state-of-the-art techniques such as LLMs with safety guarantees for mission planning, decentralised methods for multi-robot coordination, and deep reinforcement learning for single-robot and multi-robot behaviours
  • 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

  • Strong theoretical/applied skills in robotics and machine learning
  • PhD, Master's or Bachelor's degree in Aeronautical Engineering, Computer Engineering, Computer Science, Electrical and Computer Engineering, Electrical Engineering, Mechanical Engineering or a related discipline
  • Strong programming proficiency in C++ and Python
  • Practical experience in deploying robot systems in the field

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