An exciting PhD opportunity in the Network Security Group at Queen’s University Belfast, Northern Ireland. You will work alongside our world-leading industrial partner, BT, in developing future networks resilient to attack.
The vision of future networks is to automatically orchestrate network services to meet customer demands guaranteeing performance and security. In current network deployments, performance guarantees can be provided based on load balancing techniques and application-specific quality-of-service commitments. However, we cannot “guarantee” security.
The goal of this PhD project is to explore techniques to optimize the security profile of the network and enable the network to self-heal in the case of attack or security breach, while maintaining the performance guarantees.
Whilst the PhD is based at Queen’s University Belfast, you will also be embedded within BT, working alongside their researchers and practitioners, with industrial placement (anticipated 6 months per year) at BT, based in Adastral Park, Ipswich.
We are seeking an excellent, highly motivated candidate with a 1st Class honours undergraduate degree or MSc Distinction (or international equivalent) in Computer Science or Engineering. Experience of programming is essential.
The award is available to home applicants only. To be treated as a home student, candidates must meet one of these criteria:
- be a UK national (meeting residency requirements)
- have settled status
- have pre-settled status (meeting residency requirements)
- have indefinite leave to remain or enter
This EPSRC Industrial CASE award provides funding for 4 years. Depending on how you meet the EPSRC’s eligibility criteria, you may be entitled to a full or a partial award.
Applicants should apply electronically through the Queen’s online application portal at: https://dap.qub.ac.uk/portal/
Your application should include a research proposal of no longer than two A4 pages describing how you would approach the goal of this PhD project. Your proposal should include details of objectives, methodology, expected output (software/publication plans), and your experience in the proposed area.
Interested candidates are encouraged to contact Dr. Sandra Scott-Hayward [Email Address Removed]