Bachelor-Thesis*: "Analysis of signal deviation between multiple cameras & near-infrared (NIR) based sensors on AUTOSORT FLAKE"
Why TOMRA?
TOMRA Recycling develops and manufactures sensor-based sorting technologies for the global recycling and waste management industry.
As a market leader and pioneer in the recycling and waste management industry, we have made it our mission to extract recyclable fractions with high purity from waste streams in order to return them to the material cycle and make them reusable. In this way, we protect our valuable, limited resources and help to preserve our planet for future generations. Our success is reflected in the more than 7,400 plants installed worldwide and a market presence in more than 100 countries worldwide. Organizationally, TOMRA Recycling is part of the stock listed Norwegian company TOMRA Systems ASA, which has a total of more than 4,500 employees and an annual turnover of approximately one billion euros.
Job Description- Recording data from cameras and NIR sensors on different units at customer site
- Set up spectral database, screening and comparison of recordings
- Definition of initial camera & NIR sensor performance
- Definition of reference colours & NIR spectra with R&D
- Set up reference classifiers for colour & material sorting
- Design -jig for production tests for colour & material recognition
- Studying mechanical, electrical or software engineering or similar
- Fluent in German or English, both options possible
- Willingness to travel abroad
- Valid driver licence
- You like to learn about sensor-based sorting and its related technologies
- You are curious, proactive and open-minded
- You like to work in an international environment
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What We Do
TOMRA was founded on an innovation in 1972 that began with the design, manufacturing and sale of reverse vending machines (RVMs) for automated collection of used beverage containers. Today TOMRA provides technology-led solutions that enable the circular economy with advanced collection and sorting systems that optimize resource recovery and minimize waste in the food, recycling and mining industries.
