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Internship: Machine learning on aerial and/or satellite imagery for change detection (CLOSED)

You're passionate about startups and innovation, you're good at programming and you like to work on an assignment between academic research and startup business. Yes? Continue reading.

About us

Readaar was founded in 2015 and extracts all kind of information and facts about buildings from aerial photographs, LiDAR, satellite imagery and other sources. To do this we combine remote sensing with machine learning. Our customer base is very diverse: from grid operator to insurance companies. The knowledge we extract from our data has a strong environmental impact: as representative examples, we map solar panels to support the sustainable energy revolution and we help municipalities in banning asbestos. We combine the dynamics of a start-up with the professionalism of our established customers!

We love to improve, change and challenge. Ourselves, our clients and our competitors. Every day. We try, fail, and try again until it works. Everyone contributes. We are a small team and need each other. We think international, but our roots are Dutch: Open. Honest. Direct. We like what we do. We don’t work according to business hours. We do whatever it takes, celebrate successes and don’t forget to go home to our loved ones.

The internship assignment is involved in a new project Readaar works on, namely the detection of mutations/changes. This can be all kind of mutations, but the focus is on Real Estate and pipeline monitoring, for example: finding illegal buildings, track illegal removal of asbestos roofs and locating threats to pipelines.

About you and the assignment:

Your focus within this project will be on one specific application which we will determine at the start of the assignment. It will be an actual product we are working on; no theoretical study. For that application you will:

  •       Collect training data and get experience in the use of satellite data;
  •       Build and train a model and get hands-on experience in machine learning;
  •       Evaluate the results: missed positives, false positive;
  •       Determine a strategy to improve the results;
  •       Build a second improved model.

“The tech-part” is the main part of the assignment, but based on your personal interests we would like to involve you in other aspects of a start-up as well. To make this a success:

  •        You need to be enthusiastic about this assignment.
  •        A “can be done mentality”, you really like to tackle this challenge.
  •        Because we program in Matlab and Python, programming experience in one of these languages         is necessary.


Can't wait to be part of a small, fast growing innovative startup. Convince us and hopefully we can welcome you as our new team member.

For more information call Matthijs van Til +31 (0)6 5491 4858, or apply via

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