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biased, outdated, or sensitive data? That's where the project TRAI comes in. This research project aims to develop machine unlearning algorithms to selectively erase specific knowledge from trained AI
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control; winch-kite interactions; testing and experimental validation of algorithms through flight tests with Kitemill. The primary host, Kitemill, is a frontrunner in the development and deployment
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goals Teach and co-supervise BSc and MSc student projects Participate in Arctic field campaigns We expect you to have: Experience in working with large data sets and development of algorithms. At least
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programming Creating their own mechanical designs, implement and test them accordingly, Implementation of control algorithms on physical experiments. In addition, the candidates are expected to contribute with
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learning techniques, as well as methodological issues related to AI (e.g. the fairness and transparency of algorithms) Energy, Environment and Resources Firm Behavior, Innovation and the Functioning