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a non-Swedish-speaking employee to acquire sufficient knowledge of Swedish within three years to be able to teach in Swedish and communicate with the university's units/ functions in Swedish
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on developing methods for the verification and validation of systems that embed machine learning or generative models, addressing challenges such as non-determinism, data drift, and explainability. The project
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. The department is BTH's largest department, with 70 people. The research at the department is conducted in four major areas: artificial intelligence and machine learning, cloud computing and distributed systems
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learning models—alters the way software systems evolve (SE4AI). A strong focus will be on the post-deployment lifecycle of ML components, including drift detection, model decay, retraining triggers, and
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) to drive continuous improvement. It also explores how data-informed feedback loops support organizational learning, reduce delivery friction, and foster sustainable practices. The research is carried out in
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software development. Documented experience or interest in Artificial Intelligence and Machine Learning development, Proficiency in written and oral communication in English. Place of employment: Karlskrona