Fully Funded PhD in Computer Science at University of Surrey
The Department of Computer Science at the University of Surrey is offering up to 20 fully funded PhD studentships (at UK rates) to strengthen its research.
Studentships are available for the duration of 3.5 years (or 7 years at 50% time) in all areas of its research portfolio, which includes in cybersecurity and cryptography, distributed and concurrent systems, artificial intelligence and machine learning.
Successful applicants will become part of a vibrant PhD community and will benefit from the strong research environment and high international visibility of the Department.
Research themes
1. Distributed and network systems themes
- Complex network analysis, including controllability and criticality
- Concurrency control
- Development of control policies
- Distributed coordination
- Distributed trust
- Edge networks and cloud computing
- Fault-tolerance
- Formal verification
- Information processing in networks
- Resource management
- Social computing and computational social science
- Web tracking and privacy
- Social networks and online harm
- Resilient architectures and organisations
- Resilient and trustworthy data replication
- System reconfigurability, recovery and resistance
- Algorithms for consensus, fault-tolerance and reliability.
2. Nature-inspired computing and engineering themes
- Computational intelligence
- Optimisation algorithms
- Machine learning, including deep learning
- Computer vision/pattern recognition
- Reinforcement learning (rule-based, deep)
- Reconfigurability, recovery and resistance in learning
- Machine learning and biologically inspired approaches to cyber-resiliency
- Adversariality, resilience and robustness
- Resilient frameworks for hate speech detection
- Post-compromise analytics
- Morphogenetic engineering
- Neural information processing
- Developmental and cognitive neuroscience
- Time series analysis
- Security and resilience of digital ecosystems
- Signal processing
- Bayesian inference
- Medical image processing
- Robotics
- Systems biology
- Control theory
- Prediction and learning in complex networks
- Data mining
- Natural language processing
- Knowledge extraction.
3. Secure systems themes
- Hardware security
- Security analysis of critical infrastructure systems
- Quantum-resilient authentication and encryption schemes
- Technologies for trusted components, devices and sensors
- Post-compromise security
- Resilience and security across the cloud-edge-fog-things continuum
- Connected and autonomous vehicles and transport systems
- Cyber crime
- Game theory for security
- Mathematical models and frameworks for resilience
- Intrusion detection
- Digital forensics
- Human factors
- Data loss prevention
- Concurrent and distributed systems
- Applied cryptography
- Security protocols
- Formal verification
- Internet of things security and privacy
- Security visualisation
- Trusted computing
- Privacy-enhancing technologies
- User authentication
- Secure communications
- Network and mobile security and privacy.
PhD in Computer Science Program Requirements
1. Open to UK nationals, those with EU settled or pre-settled status, or indefinite leave to remain
2. We expect successful applicants to hold a BSc degree (with at least UK 2:1 honours, or equivalent) or an MSc degree with distinction in Computer Science or a related discipline.
3. The standard English language requirement is for a score of 6.5 or above (or equivalent) with 6.0 in each individual category, in an IELTLS Academic test taken in the last 2 years.
PhD Funding Coverage
- UKRI stipend (£16,062 from October 2022) plus £3,000 per annum for full-time students; 50% of these amounts for part-time students.
- Tuition fees are also covered.
- £3,000, total, to support conference attendance and other relevant costs.
Application Requirement
1. Applications should be made via the Computer Science PhD programme
2. You would need to identify an appropriate area of research, and preferably identify one or more potential supervisors and provide a brief research proposal to assist in matching with supervisors.
3. You will need to upload following documents.
- Transcripts of your previous academic qualifications.
- A personal statement explaining your interest in the program and your research goals.
- A curriculum vitae (CV) or resume.
- English language proficiency test results (if applicable).
- Letters of recommendation (usually two or three).
Application Deadline
July 21, 2024
