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retrainable pipelines, model-wrapping services, LLM prompting logic, data pre/post-processing components, and explainability hooks. The research will examine how design patterns, principles, and quality
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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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trustworthy evolution of AI-enabled systems For this position, we are looking for a candidate with a background in software development, data analysis, and artificial intelligence and an interest in Software
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, andrevealing humans' behaviour and intent in these environments. The main focus of this PhD position will be on exploring novel experience assessment methods within Theme A, Additionally, the work may expand