CSC PhD Studentships in Electronic Engineering and Computer Science
Level: PhD
Course: PhDs in Electronic Engineering and Computer Science
Country: China
Value: Full tuition fee waiver and living stipend (£1350/month) for 4 years
Deadline: 30th January 2022
About the Studentships
The school of Electronic Engineering and Computer Science of the Queen Mary University of London is inviting applications for several PhD Studentships in specific areas in Electronic Engineering and Computer Science (please see at the end of this page for a list of projects) co-funded by the China Scholarship Council (CSC). CSC is offering a monthly stipend to cover living expenses and QMUL is waving fees and hosting the student. These scholarships are available only for Chinese candidates.
About the School of Electronic Engineering and Computer Science at Queen Mary
The PhD Studentship will be based in the School of Electronic Engineering and Computer Science (EECS) at Queen Mary University of London. As a multidisciplinary School, we are well known for our pioneering research and pride ourselves on our world-class projects. We are 11th in the UK for quality of computer science research (REF 2014) and 6th in the UK for quality of electronic engineering research (REF 2014). The School is a dynamic community of approximately 350 PhD students and 80 research assistants working on research centred around a number of research groups in several areas, including Antennas and Electromagnetics, Computing and Data Science, Communication Systems, Computer Vision, Cognitive Science, Digital Music, Games and AI, Multimedia and Vision, Networks, Risk and Information Management, Robotics and Theory.
For further information about research in the school of Electronic Engineering and Computer Science, please visit: http://eecs.qmul.ac.uk/research/.
Who can apply
Queen Mary is on the lookout for the best and brightest students. A typical successful candidate:
- Should hold, or is expected to obtain an MSc in the Electronic Engineering, Computer Science, or a closely related discipline
- Having obtained distinction or first class level degree is highly desirable
Eligibility criteria and details of the scheme
Please visit https://www.qmul.ac.uk/scholarships/items/china-scholarship-council-scholarships.html for further information.
How to apply
Please see at the end of this page a list of potential PhD projects and supervisors.
Applicants should work with their prospective supervisor and submit their application following the instructions at: http://eecs.qmul.ac.uk/phd/how-to-apply/
The application should include the following:
- CV (max 2 pages)
- Research proposal (max 500 words)
- 2 References
- Certificate of English Language (for students whose first language is not English)
- Other Certificates
Application Deadline
The deadline for applications is the 30th January 2022.
For general enquiries contact Mrs. Melissa Yeo at m.yeo@qmul.ac.uk (administrative enquiries) or Professor Ioannis Patras at i.patras@qmul.ac.uk (academic enquiries) with the subject “EECS 2022 CSC PhD scholarships enquiry”.
List of available projects and corresponding academics:
| Multi-scale THz-based Sensing System for Plants Monitoring and Agricultural Quality of Life Picture | Akram Alomainy |
| Graph neural networks for 3D point cloud-based robot perception and control | Changjae Oh |
| Digital cardiac twins for personalised treatment strategies of aortic valve disease | Greg Slabaugh |
| Personalized scientific-grading sleep monitoring in home environments | Huy Phan |
| Interactive social robots for the future of chicken farms | Lorenzo Jamone |
| High-Gain and High Performance Beam-Steerable Antennas Made from Sustainable Materials. | James Kelly |
| Real-time Speech Understanding and Confidence Models for Social Care Robots | Julian Hough |
| Bioacoustic monitoring using drones | Lin Wang |
| Robotic fruit picking and quality control leveraging tactile data | Lorenzo Jamone |
| Experimenting with Conversational Facial Expressions | Patrick Healey |
| Simultaneously Transmitting and Reflecting Reconfigurable Intelligent Surfaces (STAR-RISs) Aided Wireless Communications | Yuanwei Liu |
| Adversarial examples for robust embodied AI agents | Changjae Oh |
| Semi-supervised hierarchical representation learning for audio and media applications | Charalampos Saitis |
| Sound source separation and localisation | Emmanouil Benetos |
| Machine Learning for Long-term Wireless Communications | Gareth Tyson |
| ACALA: AI Computer-Aided Lymphoma Assessment | Greg Slabaugh |
| Machine learning of procedural audio | Joshua Reiss |
| Evaluating and Learning with Disagreements | Massimo Poesio |
| Cellular-Connected Unmanned Aerial Vehicles System Cellular-Connected Unmanned Aerial Vehicles System |
Nallanathan Arumugam |
| Temporal-first large-scale graph analysis | Richard Clegg |
| Improved Decision Support for the Diagnosis of Musculoskeletal Injury using Gait Data | William Marsh |
| Integrated Sensing and Communications: A New Non-orthogonal Framework | Yuanwei Liu |
| Causal discovery in the presence of time-varying causal mechanisms with application to health data | Anthony Constantinou |
| Improving uncertainty quantification and decision making when learning causal relationships from noisy data |
Anthony Constantinou |
| Next Generation Multiple Access Towards 6G | Gareth Tyson |
| Multi-modal, Context-aware Understanding of Emotions in XR environments | Georgios Tzimiropoulos |
| Machine Learning for Activity Recognition from Wearable (Vision) Sensors | Ioannis Patras |
| Co-Design of the Hydrogen-Based Electric Propulsion and Corresponding Energy Management System for Self-Aware Marine Applications | Kamyar Mehran |
| Audio-visual sensing for machine intelligence | Lin Wang |
| Discourse structure recognition for broadcast summarisation | Matthew Purver |
| Scalable Hybrid Architecture for Wireless Collaborative Federated Learning | Nallanathan Arumugam |
| Explainable Artificial Intelligence for Creativity and Digital Media | Nick Bryan-Kinns |
| Reconfigurable intelligent surface and its implementation for 6G | Zhijin Qin |
| Semantic communications: transmitting beyond bits | Zhijin Qin |