Job

Internship | Recurrent deep learning applied to radar data

Exploiting recurrent deep learning techniques for exploitation of temporal structures in radar data

Location

Den Haag

Education type

Type

Internship and graduation project

Hours a week

Fulltime – 40

Interested?

Apply now

Apply

What will be your role?

Radar observations are hampered by reflections from the background surrounding an object of interest (so-called radar clutter) and sometimes interference of other emitters. Radar clutter may exhibit some temporal structure, e.g., radar reflections from rolling sea waves or from the rotating blades of a wind turbine. Also interference from other emitters may have some temporal structure such as a series of pulses emitted by a ship navigation radar.

The goal of this assignment is to investigate whether this temporal structure can be exploited to improve the suppression of radar clutter and interference, for instance by predicting the clutter or interference for the next radar observation. Then the next question would be: is it also possible to adapt to (slow) changes of the temporal structure? For example, the blades of a wind turbine tend to rotate faster when the wind increases, can this change be taken into account in the subsequent predictions? One potential line of investigation is the use of deep learning techniques with a recurrent structure.

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.

How do you want to contribute to tomorrow's world? How big can your impact be? Come and work at TNO and envision it.

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.

Contact: Jacco Wit, de
Phone number: +31(0)88-86 61057

Note that applications via email and third party applications are not taken into consideration.

Interested?

Apply now

Apply

FOLLOW TNO ON SOCIAL MEDIA

Stay up to date with our latest news, activities and vacancies

TNO.nl collects and processes data in accordance with the applicable privacy regulations for an optimal user experience and marketing practices.
This data can easily be removed from your temporary profile page at any time.
You can also view our privacy statement or cookie statement.