Conducting research on AI for networking, edge technologies, multipath routing, delay-tolerant networking (DTN), and Network on Wheels (NoW).
Developing AI-driven methods for resilient edge networking, agentic edge nodes, and federated intelligence.
Designing, implementing, and evaluating novel networking and learning approaches.
Collaborating with international project partners and contributing to project deliverables.
Publishing research findings in high-quality journals and conferences and supporting future research proposals.

A PhD (or near completion) in Computer Science, Electronic Engineering, or equivalent professional experience.
Research experience and knowledge of AI for networking.
Programming skills in C/C++ and/or Python.
Evidence of high-quality research activity and a developing publication record.
Strong communication skills and the ability to work collaboratively.
Knowledge of edge computing, multipath routing, DTN, or NoW.
Experience with machine learning frameworks such as TensorFlow or Keras.
Experience in optimisation, research proposal development, or externally funded projects.

At the University of Essex, internationalism and diversity is central to who we are and what we do. We are committed to being a cosmopolitan, internationally oriented university that is welcoming to staff and students from all countries, faiths and backgrounds, where you can find the world in one place.

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