Department
School of Computer Science and Electronic Engineering (CSEE), University of Essex.
Duties of the Role
The successful candidate will contribute to the EU Horizon-funded SAFARI project, focusing on AI-enabled resilient networking and federated edge intelligence.
Key responsibilities include:
- 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.
Skills/Qualifications
Essential:
- 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.
Desirable:
- 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.
Our website http://www.essex.ac.uk contains more information about the University of Essex. If you have a disability and would like information in a different format, please email resourcing@essex.ac.uk.
£38,784 to £41,064 per annum
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Senior Research Officer in AI-enabled Resilient Networking and Federated Edge Intelligence in Colchester employer: University of Essex
The University of Essex offers a dynamic and supportive work environment where innovation meets social impact. As a Senior Research Associate in Housing Risk Analytics, you will not only contribute to meaningful research that addresses housing insecurity but also benefit from professional development opportunities and a collaborative culture that values diversity and ethical practices. Located in Colchester, you will enjoy a vibrant community with access to various resources and support systems aimed at fostering your growth and well-being.
