Robotics Mission Research Engineer

1 day ago

Queenstown, Singapore DSO National Laboratories Full time

**Responsibilities**:
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 Division focuses on the research and development of advanced robotic systems and technologies across the air, land and maritime domains. These include aerodynamics, autonomy, platform control, guidance and navigation technologies.
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 work on the development and deployment of algorithms for Robotics Mission for UGVs and Drones.
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 Mission Research Engineer

In this role, you will:

- Design and develop robot behaviours, decision-making logic and multi-robot coordination algorithms for different type of ground robots and drones
- Conduct research into state-of-the-art techniques such as deep reinforcement learning for automated creation of new robot behaviours and decentralised methods for multi-robot coordination
- 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

**Requirements**:

- PhD / Masters / Bachelor's Degree in Aeronautical Engineering / Computer Engineering / Computer Science / Electrical Engineering / Mechanical Engineering /
- Strong theoretical/ applied skills in machine learning/ robotics
- Strong programming skills in C / C++ / Python
- Ability to work well in a team
- Hands-on experience in robotics projects

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