- Engineering
- IT and Technology
- Science and Research
DSO National Laboratories (DSO) is Singapore’s national defence research and development organisation. It undertakes indigenous development of advanced defence and weapon systems that provide the Singapore Armed Forces (SAF) with the superior technological edge in the battlefield. While its primary focus is to support the SAF, DSO also extends its defence R&D capabilities to support homeland security.
With more than 1,500 defence engineers and scientists pushing the boundaries of science and technology across the domains of air, land, sea, space and cyberspace, DSO develops cutting edge technologies and solutions to enhance Singapore’s defence and national security capabilities.
Today, many of the SAF’s mission-critical systems bear the invisible imprint of our work. We take pride in our ability to fuse our multi-disciplinary expertise into cutting-edge technologies and systems that cannot be commercially procured.
DSO National Laboratories (DSO) is Singapore’s national defence research and development organisation. It undertakes indigenous development of advanced defence and weapon systems that provide the Singapore Armed Forces (SAF) with the superior technological edge in the battlefield. While its primary focus is to support the SAF, DSO also extends its defence R&D capabilities to support homeland security.
With more than 1,500 defence engineers and scientists pushing the boundaries of science and technology across the domains of air, land, sea, space and cyberspace, DSO develops cutting edge technologies and solutions to enhance Singapore’s defence and national security capabilities.
Today, many of the SAF’s mission-critical systems bear the invisible imprint of our work. We take pride in our ability to fuse our multi-disciplinary expertise into cutting-edge technologies and systems that cannot be commercially procured.
Jobs & Internships
In this project, the student will explore and develop computer vision algorithms to perform vehicle re-identification on surveillance video.
Develop a Machine Learning-based algorithm to accurately detect 1) whether a test recording is spoken by a Blacklist speaker, and 2) if so, which specific Blacklist speaker was talking.
We study cybersecurity problems in different dimensions and we are looking for highly motivated interns to join our team to explore novel approaches to tackling them.
