PhD Research Engineer

Thales Group; Singapore; On-site; SGD 30,000 - 40,000; Full time

Job summary

A global technology leader in Singapore is seeking a PhD student for research on physics-based modelling of ionospheric plasma dynamics. The ideal candidate will have a background in Electrical and Electronics Engineering or Physical Sciences, focusing on GNSS signal research to improve positioning and navigation safety in aviation and maritime systems. Join the team to contribute to innovative solutions in a supportive environment.

Qualifications

• Knowledge of electromagnetism and plasma physics is a must.
• Good knowledge of data analytics, AI & machine learning is good to have.
• Keen interest to contribute to improving aviation and maritime safety.

Responsibilities

• Research on physical causal modelling and simulations of GNSS signals.
• Develop an ionospheric anomaly threat model to predict key parameters.

Skills

Electromagnetism knowledge

Data analytics

AI & machine learning

Good communication skills

Analytical skills

Problem-solving skills

Education

Bachelor's or Master's degree in Electrical and Electronics Engineering or Physical Sciences

Job description

Overview

Location: SINGAPORE, Singapore

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.

Project Title: Physics-based modelling of ionospheric plasma dynamics for accurate positioning and navigation

Responsibilities

• To perform research on physical causal modelling and efficient simulations of GNSS signals through the ionospheric multilayers, for better understanding of various electromagnetic phenomena including signal propagation and refractions. The PhD student is expected to apply both classical physics modelling techniques and state-of-the-art machine learning techniques to develop an ionospheric anomaly threat model to predict important ionospheric parameters for GNSS positioning and navigation.

Requirements

• Bachelor's or Master's degree in Electrical and Electronics Engineering, or Physical Sciences.
• Knowledge of electromagnetism and plasma physics is a must
• Good knowledge of data analytics, AI & machine learning is good to have
• Keen interest to contribute to improving the safety of aviation and maritime systems.
• Good communication and presentation skills, with appetite for engagement with the industrial supervisor and collaborators.
• Self-starter with good analytical and problem-solving skills.

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.