Thales is a global technology leader trusted by governments, institutions, and enterprises to tackle their most demanding challenges. From quantum applications and artificial intelligence to cybersecurity and 6G innovation, our solutions empower critical decisions rooted in human intelligence. Operating at the forefront of aerospace and space, cybersecurity and digital identity, we’re driven by a mission to build a future we can all trust.
In Singapore, Thales has been a trusted partner since 1973, originally focused on aerospace activities in the Asia-Pacific region. With 2,000 employees across three local sites, we deliver cutting-edge solutions across aerospace (including air traffic management), defence and security, and digital identity and cybersecurity sectors. Together, we’re shaping the future by enabling customers to make pivotal decisions that safeguard communities and power progress.TOPIC : Identify and Locate Objects Automatically in 2D Greyscale Images of Shadows
Description
We are developing a proof-of-concept (POC) demonstration system of an AI classification system to identify and locate objects in 2D greyscale images of shadows. The challenge in this case is that only the shadow of the objects projected on the ground is clearly visible, the objects themselves have limited visibility due to (1) the absence of color (2) only top view is given. The work involves entire machine-learning lifecycle including data exploration, data preparation (cleaning / transforming / annotation), feature selection, model training / testing and model tuning / selection.
Specific Responsibilities
- Set up the computing hardware / software from scratch
- Collect / clean / transform / annotate data
- Survey / select / develop / compare candidate AI models
- Develop software codes to automate model training / testing / tuning / selection
Key Requirements
- Working knowledge in entire machine-learning lifecycle
- Experience in any scripting language e.g. shell, Python, Matlab
- Preferably experience in API calls e.g. HTTP, command line, linked library
- Team player
Expected Outcomes
- Demonstration of a working system with well-defined end-to-end test scenarios
- Documentation of the finding, design and test cases / results
- Team sharing and communication of various forms, including but not limited to live demo, video and workshops
At Thales, we’re committed to fostering a workplace where respect, trust, collaboration, and passion drive everything we do. Here, you’ll feel empowered to bring your best self, thrive in a supportive culture, and love the work you do. Join us, and be part of a team reimagining technology to create solutions that truly make a difference – for a safer, greener, and more inclusive world.
Thales Singapore, Singapore, SGP Office
5 Temasek Boulevard, Floor 17 SuntecTower 5,, Singapore, Singapore, 038985
