Research Fellow in Explainable Edge Intelligence

About the job:

You will be a highly productive, ambitious and collaborative member of National Edge AI Hub (https://edgeaihub.co.uk/) research project/team assisting in the development of research proposals and the planning and delivery of the research activity specifically on:

Architecting explainability in/for agentic edge AI systems

The post is a critical role, and as such, successful applicants will have responsibilities in independent research, supervision, collaborations, and outreach.

About the person:

Essential Criteria:

• Have or be about to obtain a PhD degree in Artificial Intelligence, or Software Engineering, or Computer Science with excellent grades.
• Recent relevant research experience to include:
  • Undertaking research in the area Agentic Artificial Intelligence, Software Engineering, Edge Computing, and/or Cybersecurity.
  • Hands-on experience with modern edge AI technologies/frameworks, such as small language models (SLM), distributed large language models (LLM-D), ultra-lightweight AI agents (e.g., PicoClaw), PyTorch, Keras, or TensorFlow or others.
  • Solid understanding of edge intelligence, explainability, and software architecture.
  • Working effectively as part of a research team in the development and promotion of the research theme.
• Strong publication record commensurate with stage of career.

To be successful at shortlisting stage, please ensure you clearly evidence in your application how you meet the essential and, where applicable, desirable criteria listed in the Candidate Information document on our website.

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