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Internship: Data mining from satellite imagery using machine learning. (CLOSED)

Internship: Datamining from satellite imagery using machine learning

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

About us

Readaar was founded in 2015 and extracts all kinds of information and facts about buildings from aerial photographs, LiDAR and other sources. To do this we combine remote sensing with machine learning. Our customer base is very diverse: from grid operators to insurance companies. The knowledge we extract from our data has a strong environmental impact: 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 will be focused on the use of satellite imagery. Readaar has developed a strong position in the Dutch market (over 100 clients) where we extract data from aerial imagery. We are now looking at other countries as well. Aerial imagery is not always available in these countries, but satellite imagery is. Our current algorithms aren’t directly applicable on satellite imagery so adjustments are needed, also in the infrastructure.

About you and the project:

Your focus within this project is on unlocking multiple sources of satellite imagery, testing and adjusting our datamining algorithms to make them work on this data (different resolutions, different bands) and to validate the reliably of the outcome. For this you can use a lot of validated data from previous projects to determine the amount of true positives, false positives and missed positives.

Research and development 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. 
  • programming experience in Matlab and or Python. 


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 Sven Briels +31 (0)6 289 14 981, or apply via

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