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School of Electronic Engineering and Computer Science

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: 

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 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:  

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 (administrative enquiries) or Professor Ioannis Patras at (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