International Association
for Cryptologic Research

PhD Studentship in Security for Smart Manufacturing and Digital Twin
(University of Sheffield, UK)

Are you ready to explore the forefront of securing smart manufacturing systems and digital twins? Join the University of Sheffield's research team through a 3.5-year PhD studentship focused on enhancing security within advanced manufacturing environments, specifically in applications involving digital twins and robotic arms.

Project Overview:
This project addresses critical security challenges within smart manufacturing environments, focusing on the protection and resilience of digital twin frameworks. The research aims to fortify systems against cyber threats to ensure safe, secure, and efficient operation in industrial settings. Key areas of study include vulnerability analysis, digital twin security, and developing defence mechanisms to protect interconnected manufacturing components, including robotic arms.

Research Themes Include:

• Identifying and analysing vulnerabilities in digital twins and robotic arm systems
• Designing robust digital twin models with enhanced resistance to cyber threats
• Implementing advanced security protocols for smart manufacturing infrastructure
• Collaborating with industry partners to establish new security standards for digital twin and robotic systems

Position Details:

• Starting Date: Flexible, with preferred start dates in January 2025 or September 2025.
• Location: Department of Computer Science, University of Sheffield, UK.
• Duration: 3 years and 6 months

Candidate Requirements:
The ideal candidate should have an excellent academic track record at both Bachelor’s and Master’s levels and a strong background in research, demonstrated by relevant publications. This opportunity is available for UK home students only.

Note: Only UK-based candidates are eligible to apply.