Type dienstverband:
Internship and graduation project
Den Haag
Uren per week:
Fulltime – 40

Internship | Training of deep neural networks using radar measurements made with varying waveform settings

Mastering varying radar waveform settings in training sets for deep neural networks

What will be your role?

Deep learning techniques typically thrive when large sets of labelled data are available. In the radar domain, labelled data tend to be scarce depending on the application area. So it would be beneficial if all available data could be used. However, in practice measurements may be made with varying radar waveform settings (such as centre frequency, bandwidth, pulse repetition frequency), which has an impact on the representation of the information in the received signal. The unambiguous Doppler interval, for instance, depends on the pulse repetition frequency.

The goal of this assignment is to investigate how radar measurements made with varying waveform settings can be used for training a deep neural network for target classification. One possible approach is the investigation into the use of data representations that are independent of the radar waveform settings, such that the input to the neural network is consistent. Another possible approach is the investigation into neural network architectures that are robust with respect to varying waveform settings. Radar measurements with varying waveform settings are available for this assignment.

You will perform this assignment in the Department of Radar Technology. We are a passionate and creative group of professionals (60 people) dedicated to the specification, development and evaluation of innovative, high-performance MMICs, miniaturised and integrated RF subsystems, antennas and front-ends. The department is at the heart of novel, game-changing radar system and signal processing concepts for the military, space and civil domains.

What we expect from you

You are in the final stages of your degree in artificial intelligence, computer science, physics, mathematics, electrical engineering or a similar degree and have some track record in the field of signal processing or computer vision. You have experience in programming in Matlab and/or Python, you are pragmatic and focused on making things work. Next to technical expertise we value communication skills and a results-driven attitude.

What you'll get in return

You want to work on the precursor of your career; an internship gives you an opportunity to take a good look at your prospective future employer. TNO goes a step further. It’s not just looking that interests us; you and your knowledge are essential to our innovation. That’s why we attach a great deal of value to your personal and professional development. You will, of course, be properly supervised during your internship and be given the scope for you to get the best out of yourself. Naturally, we provide suitable internship compensation.

TNO as an employer

TNO is an independent research organisation whose expertise and research make an important contribution to the competitiveness of companies and organisations, to the economy and to the quality of society as a whole. Innovation with purpose is what TNO stands for. With 3000 people we develop knowledge not for its own sake but for practical application. To create new products that make life more pleasant and valuable and help companies innovate. To find creative answers to the questions posed by society. We work for a variety of customers: governments, companies, service providers and non-governmental organisations.

The selection process

For this vacancy it is required that the AIVD issues a security clearance after conducting a security screening. Please visit for more information the AIVD website.

Has this job opening sparked your interest?

Then please feel free to apply on this vacancy! For further questions don’t hesitate to contact us.

Due to Covid-19 and the consequent uncertainties and restrictions, students who are not residing in the Netherlands may currently not be able to start an internship or graduation project at TNO.