Internship | Applying deep learning to time series of radar data

Getting deep into time series of radar data. 🚀

What will be your role?

Nowadays, deep learning techniques are used in a wide variety of domains, including the radar domain. In the radar domain, deep learning is primarily applied for classification based on some 2D representation of the radar data, e.g., an Inverse Synthetic Aperture Radar (ISAR) image or a spectrogram (i.e., an image of signal frequency content versus time). These intermediate data representations are commonly used because they are easily interpretable for humans.

Depending on the final application, however, deep neural networks might be trained more efficiently using other data representations. For specific applications, it might even be beneficial to omit the intermediate data representation and train a neural network using pulse-compressed radar data or directly raw radar data. The focus of this assignment is the use of pulse-compressed or raw radar data for training a deep neural network. What is the potential of this approach? What are possible applications for which this approach has added value? For instance, could pulse compression, beamforming, and/or detection be combined in a single neural network and if so, what is the benefit? Radar measurements are available for testing different approaches.

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 an internship opportunity 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 work placement and be given the scope for you to get the best out of yourself. Furthermore, we provide:

• A highly professional, innovative internship environment, within a team of top experts.
• Use of a laptop.
• Opportunity to engage in several activities, such as sports activities or work-related courses.

TNO as an employer

At TNO, we innovate for a healthier, safer, and more sustainable life. And for a strong economy. Since 1932, we have been making knowledge and technology available for the common good. We find each other in wonder and ingenuity. We are driven to push boundaries. There is all the space and support for your talent and ambition. You work with people who will challenge you: who inspire you and want to learn from you. Our state-of-the-art facilities are there to realize your vision. What you do at TNO matters: impact makes the difference. Because with every innovation you contribute to tomorrow’s world.

At TNO, we encourage an inclusive work environment, where you can be yourself. Whatever your story and whatever unique qualities you bring to the table. It is by combining our unique strengths and perspectives that we are able to develop innovations that make a real difference in society.

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.