Data Processing Engineer

About us

‘The people we  rely on to make the world go round – they rely on Thales’. In a fast-changing and increasingly unpredictable world full of opportunities, people come to us with big ambitions – to make your life better and more secure. Our employees, who are part of a unique and varied team with many different fields of expertise and a wide range of talents and cultures, develop and deliver outstanding high-tech solutions. Thales employs 81,000 highly talented people in 68 countries. Almost 3,000 of these are based in the Netherlands. We are one of the largest high-tech employers in the field of security and protection.

We help our customers think smarter and act faster in the fields of defense, aerospace, aviation technology and cyberspace, to manage and control their increasingly complex processes and make the best possible business decisions. This is why we play a leading role in digital transformation, focusing on Artificial Intelligence, Big Data & Data Analysis, Connectivity, Mobility, Internet of Things, Cyber Security.

In the Netherlands, we are located in four cities: Huizen, Delft, Eindhoven and Hengelo (head office). Together with an extensive ecosystem of knowledge partners, customers and suppliers, we work on radar systems for seagoing vessels, cyber security solutions, transport systems, communications equipment for land forces, cryogenic cooling solutions, R&D for radar technology (in collaboration with TU Delft), as well as R&D for serious gaming (in collaboration with the University of Twente).

About the team
To strengthen our team, we are looking for an enthusiastic and motivated

Data Processing Engineer.

As a data processing engineer you work in a team that designs, develops and validates advanced signal and data processing algorithms for our radar and electro-optical systems.

About your future job

The extraction building block is the component in the radar system that extracts all the relevant physical information of possible targets out of a large stream of received data. The information that is extracted are, estimates of the range, direction of arrival (DOA) i.e. elevation and azimuth, radial velocity, and size of a target. For these estimates and other functionalities, algorithms need to be developed and maintained. Each algorithm needs a set of parameters in order to function optimally, and these parameters need to be tuned. Seldomly do products work as intended when switched on for the first time, so an important part of the job is to recognize and analyze problems when they occur and find elegant and efficient solutions to further optimize the building block.

Activities include among others:

• prototyping and analysis of algorithms;
• modelling of sensors, objects and their environments;
• validation and performance analysis of the extraction product and new algorithms;
• requirement engineering and stakeholder discussions.

Keywords for this job description include:

• State estimation;
• Bayesian processing;
• Stochastics;
• Model based system engineering (MBSE).

Why you'd be a good match

• master’s degree in Mathematics, Physics, Electrical Engineering or similar;
• affinity with algorithm development, statistics or MBSE;
• knowledge of Matlab and Python
• knowledge of C++ is an advantage
• you identify with a team player having good communication skills;
• you are able to work with other teams (e.g. software and test engineers);
• fluency in spoken and written Dutch and English.

What's in it for you

• A challenging job in a great team within our high-tech, innovative work environment. Includes the freedom for initiative and good ideas.
• Room for personal and professional growth within our organization, for example in regards to technical, commercial or international skills.
• Valuable international collaboration with coworkers from 68 different countries around the globe.
• A comfortable work space in a modern environment, with a focus on flexibility and the right work/life balance.
• You can usually work where and when you want, to be able to do your work as well and efficiently as possible. Within Thales we implement hybrid working, where you can, for example, work from home two days a week if your role allows it.
• A good salary, fitting travel allowance, and the ability to personalize your employment conditions. For instance, you can trade days off for our bicycle plan or company fitness.
• 40 days paid-time-off per year.

Interested?

Apply now! Click on the button below to upload your profile and show your interest.

To ensure that we are a good match, we may ask you to participate in an assessment.

A government clearance will be requested as part of standard Thales procedures.

Diversity Statement

We actively support a working pattern that suits your lifestyle and helps you reach your ambitions. That means that equal opportunities, inclusion and an informal culture are integral to our success. It also means that your well-being and happiness matter to us! That’s why we offer you the flexibility to do what’s important to you; whether that’s part time hours, job sharing, remote working, or the ability to flex your start and finish times.

Security Requirements

In line with Thales' Baseline Security requirements, candidates will be asked to provide evidence of identity, eligibility to work in The Netherlands and employment and/or education history. This vacancy requires a security clearance which can require further evidence to be provided. For further details of the evidence required to apply for security clearance please refer to the General Intelligence and Security Service.

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