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-generated artifacts Designing evaluation approaches to assess the robustness and reproducibility of AI-assisted development workflows Conducting empirical studies on real-world software repositories and
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. The research will involve: Developing structured and machine-checkable ways to relate requirements, code changes, tests, and AI-generated artifacts Designing evaluation approaches to assess
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research and expertise. Cybercampus Sweden connects universities, industry, and public organizations to advance cybersecurity research, education, and innovation. PhD students collaborate within the national
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organizations to advance cybersecurity research, education, and innovation. PhD students collaborate within the national research community and participate in joint research, events, workshops, and training
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environment focusing on engineering product development, innovation capability, and advanced engineering design, with strong links to industry and societal challenges. The research environment is characterised
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environment focusing on engineering product development, innovation capability, and advanced engineering design, with strong links to industry and societal challenges. The research environment is characterised
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benefits for Ph.D. students in Sweden apply to this position. The Ph.D. student will develop an individual study plan in mechanical engineering together with supervisors. The position may include up to 20
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. Work description You are expected to explore both software architecture and software design in the era of artificial intelligence, addressing both how AI can support engineering practices (AI4SE) and how
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is renewed for a maximum of two years at a time, provided that the individual study plan is followed. The position may comprise up to 20% of other duties (e.g., teaching), in which case the duration
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efficient resource use and strategic planning. The doctoral student will have an individual study plan in the subject of systems engineering. As part of the employment, teaching is included (up to 20