Research Engineer

Thales Group; Singapore; On-site; SGD 80,000 - 100,000; Full time

Job summary

A leading company in aerospace and defense seeks a Research Engineer for a PhD project focused on ionospheric modeling for GNSS positioning. The role involves advanced simulations and modeling to enhance navigation safety, integrating physics with machine learning techniques. Ideal candidates will possess strong analytical skills and a degree in Engineering or Physical Sciences.

Qualifications

• Good communication and presentation skills.
• Keen interest in aviation and maritime safety.
• Self-starter with analytical and problem-solving skills.

Responsibilities

• Research on physical causal modelling of GNSS signals.
• Develop an ionospheric anomaly threat model.
• Apply machine learning techniques for simulations.

Skills

Data analytics

AI & machine learning

Plasma physics

Education

Bachelor's or Master's degree in Engineering or Physical Sciences

Job description

In fast changing markets, customers worldwide rely on Thales. Thales is a business where brilliant people from all over the world come together to share ideas and inspire each other. In aerospace, transportation, defence, security and space, our architects design innovative solutions that make our tomorrow's possible.

Thales established its presence in Singapore in 1973 to support the expansion of aerospace-related activities in the Asia-Pacific region. Throughout the last four decades, the company grew from strength to strength and is today involved in the primary businesses of Aerospace (including Air Traffic Management), Defence & Security, Ground Transportation and Digital Identity & Security. Thales today employs over 2,100 people in Singapore across all its business areas.

Project Title: Physics-based modelling of ionospheric

plasma dynamics for accurate positioning

and navigation

Position Summary:

• Modern transportation systems depend heavily on accurate GNSS-based positioning, which is greatly affected by the ionospheric state such as electron density and plasma bubble irregularity. Depending on the ionopsheric plasma dynamics, the GNSS signals transmitted by navigation satellites might be attenuated and/or distorted when received by GNSS receivers onboard aircrafts and ships.
• The Research Engineer will work on PhD project, which aims to study and analyse the physics of ionospheric dynamics, scintillation and plasma bubble irregularities 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 Engineering, or Physical Sciences.
• Good knowledge of data analytics, AI & machine learning and plasma physics.
• 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 provide CAREERS and not only jobs. With Thales employing 80,000 employees in 68 countries our mobility policy enables thousands of employees each year to develop their careers at home and abroad, in their existing areas of expertise or by branching out into new fields. Together we believe that embracing flexibility is a smarter way of working. Great journeys start here, apply now!