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.
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 the precise identification and localization of buildings from satellite imagery. This project is part of the ESA BIC program and is done with the support of the ESA.
About you and the project:
Your focus within this project is on the automatic and accurate identification of buildings. The main challenges to be solved will be in the variety of buildings to be detected and from the relatively inaccurate positioning of the satellite imagery.
The “high tech” 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:
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 email@example.com
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