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Internship: Finding the optimal mix of optical and radar satellites for object recognition and extraction (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 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 combining data from optical and radar satellites to better detect and localize several types of objects. This project is part of the ESA BIC program and is done with the support of the ESA.


About you and the assignment:

Your focus within this project is on the optical mix of optical and radar satellites for image mining. You will investigate:

  1. Specifications of different open source and commercial suppliers/satellites: resolution, bands, positioning, coverage, revisit times, API solutions and pricing for optical as well radar data.
  2. Collect sample data from the different satellites.
  3. Run tests with our current recognition algorithms to determine the minimum reliability of information mined from satellites and give recommendation on which sources or mix of sources to use and on how to improve the reliability.

Finding the right sources and run tests 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, programming experience in Matlab 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 Sven Briels +31 (0)6 289 14 981, or apply via

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