AI Lead for Resilient Edge Networking & Federated 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

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