Opportunities
Research Collaboration and Knowledge Transfer
As outlined in our Research page, we have extensive experience in collaboration with industrial, academic and research institutions worldwide. We have a successful track record with EPSRC, TSB, EU and JISC; and directly with the research arm of institutions.
Therefore, we welcome researchers joining us via a variety of routes - as a research partner, a visiting researcher, a postgraduate student, or an intern.
Postgraduate Research Students
Specific funding or career opportunities will be announced on the school's main funding opportunities page with accompanying information. Current PhD supervisors are:
Professor Jie Xu, Professor Karim Djemame, Professor Zheng Wang, Professor Evangelos Pournaras, Professor Leandro Soares Indrusiak, Professor Arshad Jhumka, Dr. Natasha Shakhlevich, Dr. Xu Zhang, Dr. Arash Bozorgchenani, and Dr. Chunwei Xia.
There are many opportunities for PhD research within our group. A selection of examples can be seen below, please also feel free to contact the group to discuss your own interests.
- Designing and Implementing a Resilient Deep Learning Framework
- Automatic Software Bug Detection and Fixing by Learning from Large Code Examples
- Democratise Large Deep Learning Models
- Energy-efficient Computing Through Fine-grained Energy Accounting
- Modernise Compiler Technology with Deep Learning
- Distributed Artificial Intelligence for Collective Decisions in Smart Cities
- Edge-to-Cloud Smart Mobility: AI Co-optimization for Future Autonomous Vehicles
- Effective Urban Airspace Management under Realistic Communication Constraints
- Efficient State Retention in Transiently-Powered Large-Scale Internet of Things (IoT) Networks
- Multi-agent Modelling for Policy Monitoring in Smart Buildings
- Large Language Model for System Software
- Optimisation Algorithms for Distributed Computing
- Optimisation Algorithms for Problems with Changeable Parameters
General advice for research degrees applications can be found on the School of Computer Science's main pages.
Past Visitors
- Visiting Professor Thomas Erlebach - Durham University, UK
- Visiting Professor Akiyoshi Shioura - Tokyo Institute of Technology, Japan
- Visiting Professor Vitaly Strusevich - University of Greenwich, UK
- Visiting Professor Chaug Guo - NUDT, China
- Visiting Professor Kaigui Wu - Chongqing University, China
- Visiting student Shengdong Zhang - NUDT, China
Past Research (Alumni's Theses)
Our group has had many successful alumni, who have produced their theses here at Leeds. We highlight their success here, while other theses produced in the school can be found under the main school listing.
- Bernhard Primas - Modeling and Algorithmic Development for Selected Real-World Optimization Problems with Hard-to-Model Features (2019)
- Christian Weiß - Enhanced Scheduling Models – Algorithms, Complexity and Applications (2017)
- Alessandro Condotta - Scheduling with due dates and time-lags: new theoretical results and applications (2011)
- Bernhard Josef Primas (PhD) Modeling and Algorithmic Development for Selected Real-World Optimization Problems with Hard-to-Model Features
- Ahmad Kamal Bin Ramli (PhD) Service Level Agreement-based adaptation management for Internet Service Provider (ISP) using Fuzzy Q-learning
- Ouyang, Xue (PhD) - Intelligent Straggler Mitigation in Massive-Scale Computing Systems
- Abdulaziz Albatli (PhD) - Provenance-Driven Diagnostic Framework for Task Evictions Mitigating Strategy in Cloud Computing
- Ibrahim Alzamil (PhD) - Energy-Aware Profiling and Prediction Modelling of Virtual Machines in Cloud Computing Environments
- David McKee (PhD) - n-Dimensional Prediction of RT-SOA QoS
- Peter Garraghan (PhD) - Holistic Cloud Computing Environmental Quantification and Behavioural Analysis
- Silvana De Gyves Avila (PhD) - QoS Awareness and Adaptation in Service Composition
- Ismael Solis Moreno (PhD) - Characterizing and exploiting heterogeneity for enhancing energy-efficiency of cloud datacenters
- Anthony John Sargeant (PhD) - Testing the Dependability of Dynamic Binding in Service-Oriented Computing
- Richard Edward Kavanagh (PhD) - Negotiated Resource Brokering for Quality of Service Provision of Grid Applications
- Tahir Farooq (PhD) - Protection and Sharing of Semantically-Enabled ELN in a Co-Laboratory Research Environment Focused on the EUROCHAMP-2 Community
- Django Armstrong (PhD) - Enhancing Quality of Service in Cloud Computing Through Novel Resource Management
- Sanaa Sharaf (PhD) - Extending WS-agreement to Support Dynamic Service Level Agreements in Grids
- Asif Sangrasi (PhD) - Component Level Risk Assessment Modelling for Grid Resources
- Shahzad Ahmed Nizamani (PhD) - A quality-aware cloud selection service for computational modellers
- Zulkifly Mohd Zaki (PhD) - A User-Orientated Electronic Laboratory Notebook for the Retrieval of Scientific Provenance Grounded in EUROCHAMP-2 Community
- Siraya Sitthisarn (PhD) - Semantically-enabled Keyword Search for Expert Witness Discovery Applied to a Legal Professional Network
- Raid Abdullah Alsoghayer (PhD) - Risk assessment models for resource failure in grid computing
- Junaid Arshad (PhD) - Context-aware intrusion severity analysis for clouds
- Muhammad Mubashir Khan (PhD) - High error-rate quantum key distribution: novel protocols with improved eavesdropping detection
- Sania Bhatti (PhD) - Clustering and fault tolerance for target tracking using wireless sensor networks
- Imran Ali Jokhio (PhD) - A Scalable Scheme for Enhancing EPC Network Security
- Simon Mark Davy (PhD) - Decentralised Economic Resource Allocation For Computational Grids
- James Joseph Padgett (PhD) - A Management System for Service level Agreements in Grid based Systems
- Tran Vu Pham (PhD) - A Collaborative e-Science Architecture for Distributed Scientific Communities
- Mohammed Hassan Haji (PhD) - SNAP-based Grid Resource Broker using the Three Phase Commit Protocol
- Paul Michael Townend (PhD) - Topology-aware fault tolerance in grids