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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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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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attributes are shifting in the presence of probabilistic outputs, non-determinism, and continuous data dependencies, and how these factors impact maintainability, testability, and reusability. The PhD project
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software development. Experience and interest in Artificial Intelligence and Machine Learning development. Proficiency in written and oral communication in English. Place of employment: Karlskrona
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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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research results as well as indirectly, through our PhD graduates and research-based undergraduate studies. To reach our goals, we need motivated and committed staff who are provided with the conditions to
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from quantitative and qualitative research and from tool development for the collection and analysis of software development data. We also value experience from empirical research in close collaboration
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exceed three years. Application deadline: August 10, 2025. You apply online through our recruitment system by clicking on the “apply” button below. If you have protected personal data, you should not