Senior Research Officer in AI-enabled Resilient Networking and Federated Edge Intelligence

University of Essex; Colchester; On-site; GBP 39,000 - 41,000; Full time

Job summary

The University of Essex's School of Computer Science and Electronic Engineering invites applications for a research role contributing to the EU Horizon SAFARI project, focusing on AI-enabled resilient networking and federated edge intelligence. The successful candidate will conduct research on AI for networking, edge technologies, multipath routing, DTN, and NoW.

You will develop AI-driven methods for resilient edge networking, collaborate with international partners, publish findings in

Qualifications

• PhD (or near completion) in Computer Science, Electronic Engineering, or equivalent.
• Strong research experience in AI for networking.
• Programming skills in C/C++ and/or Python.
• Evidence of high-quality research activity and publications.
• Strong communication and collaboration skills.

Responsibilities

• Conduct research on AI for networking and edge computing for SAFARI project.
• Develop AI-driven methods for resilient edge networking and federated intelligence.
• Design, implement, and evaluate novel networking and learning approaches.
• Collaborate with international project partners and contribute to deliverables.
• Publish results in journals and conferences and support future proposals.

Skills

AI for networking

Python

C/C++

Publication record

Communication

Collaborative work

Education

PhD in Computer Science/Electronic Engineering

Tools

TensorFlow

Keras

Job description

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 [e-mail].

£38,784 to £41,064 per annum