PhD scholarship in Self-Adaptive AI Systems and Embedded Intelligence - DTU Compute

Opportunity summary

Are you interested in pursuing a PhD at the intersection of artificial intelligence, embedded systems, and sustainable computing? Join the Embedded Systems Engineering (ESE) research section at DTU Compute and contribute to research on the next generation of reliable and self-adaptive AI-enabled systems. As a PhD student at DTU, you will work in an international and collaborative environment with access to state-of-the-art facilities and opportunities to engage with leading academic and industrial partners.Responsibilities and qualifications We offer a PhD scholarship to contribute to the REGAIN-AI project, a newly established research initiative investigating reliability, sustainability, and self-adaptation in next-generation AI-enabled systems. Funded by the Novo Nordisk Foundation, this project explores how uncertainty introduced by generative AI components can be characterized, bounded, and controlled in embedded, edge, and distributed computing environments. Recent advances in large language models and generative AI are enabling increasingly autonomous systems across the computing continuum, from embedded devices to cloud infrastructures. However, integrating probabilistic AI components into traditionally deterministic systems introduces new challenges related to uncertainty, reliability, and resource consumption, particularly in resource-constrained environments1 …

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