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Stage-/Afstudeeropdracht - WO - Elektrotechniek, Natuurkunde, Informatica, Wiskunde

Internship in Delft, the Netherlands
Posted

Degree level

Bachelor

Job function

Engineering

Required language

Dutch (Fluent)

Work experience

0 to 1 years

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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 achitects design innovative solutions that make our tomorrow's possible.

Soort opdracht: Stage-/Afstudeeropdracht

Niveau: WO

Studierichting(en): Elektrotechniek, Natuurkunde, Informatica, Wiskunde/Electrical Engineering, Physics, Computer Science, Mathematics

Titel van de opdracht: Classification with radar using Deep Learning techniques

About us

With 80.000 talents working in 68 countries, we are one of the biggest high-tech employers in the field of safety and security. In the Netherlands, where 2000 employees are based, we are located in four cities: Huizen, Delft, Eindhoven and Hengelo (HQ). Together with an extensive ecosystem of knowledge partners, customers and suppliers, we work on radars for naval vessels, cyber security solutions, transportation systems, communication equipment for land forces, cryogenic cooling solutions, research & development for radar tech (in collaboration with TU Delft).

The department Advanced Developments in Delft focuses on radar-related innovation such as advanced waveforms, new processing algorithms, Integrated Topside Design and distributed sensors/radar networks.

About the assignment

Deep Learning is a type of machine learning that attempts to model high level abstractions in data. In recent years, remarkable achievements using Deep Learning architectures have been reached in the fields of speech and image recognition, text analysis, autonomous driving, etc.

In this assignment, you will apply Deep Learning techniques on radar data with the goal of classifying different (moving) objects using synthetic data and/or measurement data from an experimental radar.

Some prior experience with machine learning is favorable.

Total length of the project is preferably >3 months.

Affinity

Machine Learning, Python, Tensorflow/Keras, MATLAB

Thales offers…

  • An interesting internship or graduation assignment in an international high tech environment
  • An open and flexible working environment
  • An excellent internship allowance
  • Its own student association where you can participate in educational and fun activities.

Interested?

Direct solliciteren? Gebruik dan je eigen, persoonlijke profiel om jouw interesse aan ons kenbaar te maken en kies voor ‘Apply now’.

Would you like to apply directly?  Then click on the button ‘Apply now’ to show your interest.

Please keep in mind that we can only consider students who are enrolled at a school during the whole internship period for our internships and graduation assignments.

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Thales Nederland is part of the Thales Group, with 65,000 employees in over 50 countries, including 22,000 working in R&D. This makes Thales one of Europe's largest electronics companies and it has an extremely strong position worldwide. Thales Nederland is active in the sectors of Defence, Security and Transportation Systems. We have almost 2,000 employees, making us the leading supplier...

Engineering
Hengelo
65,000 employees