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  • Research Themes
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PhD Studentships

Postgraduate Studentships

School of Electronics, Electrical Engineering and Computer Science

A number of Postgraduate Research Studentships are available within the School of Electronics Electrical Engineering and Computer Science for home and EU students enrolling in 2020.

Potential PhD proposals 

Potential PhD projects in Electrical and Electronic Engineering

Potential PhD projects in Computer Science

  • Postgraduate Research
    Postgraduate Research Courses
    Course Qualification Duration
    Electrical & Electronic Engineering MPhil 4 Academic Years (Part Time) / 2 Academic Years (Full Time)
    Duration 4 Academic Years (Part Time) / 2 Academic Years (Full Time)
    Description

    The School of Electronics, Electrical Engineering and Computer Science (EEECS) aims to enhance the way we use technology in communication, data science, computing systems, cyber security, power electronics, intelligent control, and many related areas.

    You’ll be part of a dynamic doctoral research environment and will study alongside students from over 40 countries world wide; we supervise....

    Electrical & Electronic Engineering MPhil 4 Academic Years (Part Time) / 2 Academic Years (Full Time)
    Duration 4 Academic Years (Part Time) / 2 Academic Years (Full Time)
    Description

    The School of Electronics, Electrical Engineering and Computer Science (EEECS) aims to enhance the way we use technology in communication, data science, computing systems, cyber security, power electronics, intelligent control, and many related areas.

    You’ll be part of a dynamic doctoral research environment and will study alongside students from over 40 countries world wide; we supervise....

    Computer Science MPhil 2 Academic Years (Full Time) / 4 Academic Years (Part Time)
    Duration 2 Academic Years (Full Time) / 4 Academic Years (Part Time)
    Description

    The School of Electronics, Electrical Engineering and Computer Science (EEECS) aims to enhance the way we use technology in communication, data science, computing systems, cyber security, power electronics, intelligent control, and many related areas.

    You’ll be part of a dynamic doctoral research environment and will study alongside students from over 40 countries world wide; we supervise....

    Computer Science MPhil 2 Academic Years (Full Time) / 4 Academic Years (Part Time)
    Duration 2 Academic Years (Full Time) / 4 Academic Years (Part Time)
    Description

    The School of Electronics, Electrical Engineering and Computer Science (EEECS) aims to enhance the way we use technology in communication, data science, computing systems, cyber security, power electronics, intelligent control, and many related areas.

    You’ll be part of a dynamic doctoral research environment and will study alongside students from over 40 countries world wide; we supervise....

    Computer Science PhD 3 Academic Years (Full Time) / 6 Academic Years (Part Time)
    Duration 3 Academic Years (Full Time) / 6 Academic Years (Part Time)
    Description

    The School of Electronics, Electrical Engineering and Computer Science (EEECS) aims to enhance the way we use technology in communication, data science, computing systems, cyber security, power electronics, intelligent control, and many related areas.

    You’ll be part of a dynamic doctoral research environment and will study alongside students from over 40 countries world wide; we supervise....

    Computer Science PhD 3 Academic Years (Full Time) / 6 Academic Years (Part Time)
    Duration 3 Academic Years (Full Time) / 6 Academic Years (Part Time)
    Description

    The School of Electronics, Electrical Engineering and Computer Science (EEECS) aims to enhance the way we use technology in communication, data science, computing systems, cyber security, power electronics, intelligent control, and many related areas.

    You’ll be part of a dynamic doctoral research environment and will study alongside students from over 40 countries world wide; we supervise....

    Electrical & Electronic Engineering PhD 6 Academic Years (Part Time) / 3 Academic Years (Full Time)
    Duration 6 Academic Years (Part Time) / 3 Academic Years (Full Time)
    Description

    The School of Electronics, Electrical Engineering and Computer Science (EEECS) aims to enhance the way we use technology in communication, data science, computing systems, cyber security, power electronics, intelligent control, and many related areas.

    You’ll be part of a dynamic doctoral research environment and will study alongside students from
    over 40 countries worldwide; we supervise....

    Electrical & Electronic Engineering PhD 6 Academic Years (Part Time) / 3 Academic Years (Full Time)
    Duration 6 Academic Years (Part Time) / 3 Academic Years (Full Time)
    Description

    The School of Electronics, Electrical Engineering and Computer Science (EEECS) aims to enhance the way we use technology in communication, data science, computing systems, cyber security, power electronics, intelligent control, and many related areas.

    You’ll be part of a dynamic doctoral research environment and will study alongside students from
    over 40 countries worldwide; we supervise....

  • PhD Opportunities
    PhD Opportunities
    Course Qualification Duration
    Secure satellite constellation system PHD Full-time: 3 years
    Remote Healthcare Security PHD Full-time: 3 years
    Information security establishment using computer architectural solution PHD Full-time: 3 years
    A Trusted Execution Environment based framework for securing legacy embedded systems PHD Full-time: 3 years
    Lightweight Post Quantum Cryptography on modern open-source RISC-V processors PHD Full-time: 3 years
    Fault tolerant post quantum cryptography systems for satellite communications PHD Full-time: 3 years
    Explainable AI for Hardware Security PHD Full-time: 3 years
    Hardware Security for Approximate Computing PHD Full-time: 3 years
    Homomorphic encryption: Approximating and Accelerating Privacy-Preserving computation PHD Full-time: 3 years
    Using Quantum-safe technologies to improve Cyber security PHD Full-time: 3 years
    Advanced manufacturing of mm-wave lens antennas for future wireless technologies PHD Full-time: 3 years
    Intelligent AI electromagnetic environment for communication and sensing within 6G PHD Full-time: 3 years
    3D manufacturing of glass microstructures using direct laser writing PHD Full-time: 3 years
    A Secure Networking Platform for IoT Data Streams PHD Full-time: 3 years
    Digital Twins for Human-Robot Collaboration in Remanufacturing PHD Full-time: 3 years
    Resilient Risk-Aware Autonomy for Legged Robots PHD Full-time: 3 years
    Advanced Beamforming Hardware at Millimeter-waves: Antenna Design Choice & Characterization PHD Full-time: 3 years
    Ultrawideband Antenna Arrays for 5G/6G applications PHD Full-time: 3 years
    Secure Satellite Retrodirective Communications using Post-quantum Cryptography PHD Full-time: 3 years
    Reachability-driven safe planning in robotics PHD Full-time: 3 years
    Resilience and Safety for Cybersecure Industrial Control Systems PHD Full-time: 3 years
    Antennas for Integrated Communications and Sensing PHD Full-time: 3 years
    4D Printed Electromagnetic Structures PHD Full-time: 3 years
    Design of safe autonomous heavy equipment PHD Full-time: 3 years
    Provision of Dynamic Distribution System Services from Battery Energy Storage PHD Full-time: 3 years
    Synchronous Inertia Response from Inverter Connected Energy Sources PHD Full-time: 3 years
    Millimeter wave superdirective antenna arrays printed on lightweight, flexible materials. PHD Full-time: 3 years
    Beyond diagonal reconfigurable intelligent surfaces PHD Full-time: 3 years
    Integrated sensing and communications for massive MIMO PHD Full-time: 3 years
    Intelligent systems techniques for improving manufacturing competitiveness and sustainability PHD Full-time: 3 years
    AI enabled automated detection and assessment of Retinopathy of Prematurity (ROP) PHD Full-time: 3 years
    Predicting User Performance for Enhanced Brain-Computer Interfaces PHD Full-time: 3 years
    Leveraging Advanced Machine Learning Methods for Brain-Computer Interface-Based Upper Limb Neurorehabilitation. PHD Full-time: 3 years
    Efficient Computing with Software-Defined Computer Arithmetic PHD Full-time: 3 years
    Efficient Machine Learning on Encrypted Data via Low-Level Arithmetic Optimizations PHD Full-time: 3 years
    Side-channel analysis and countermeasure on Lightweight Post Quantum Cryptographic PHD Full-time: 3 years
    Integrated Side-channel analysis in Physical Uncloneable Function PHD Full-time: 3 years
    Responsible and explainable AI for precision medicine PHD Full-time: 3 years
    Advancing understanding of rare diseases via AI driven methods PHD Full-time: 3 years
    Getting to know your GPT: Investigating the Representation and Retrieval of Semantic Knowledge in Foundation Models of Language PHD Full-time: 3 years
    Using AI and High Performance Computing in Marine Engineering PHD Full-time: 3 years
    Tools and techniques for educating educators of developers PHD Full-time: 3 years
    Understanding Software Evolution Data (USED) PHD Full-time: 3 years
    Fact-checking with a Conscience: Towards Responsible Fake News Detection PHD Full-time: 3 years
    Responsible Algorithms for Platform Cooperativism PHD Full-time: 3 Years
    Digital Twins for Empirical Elasticity between the Edge and Cloud PHD Full-time: 3 years
    Chatbot for Dynamic Data-Oriented Serverless Edge Computing PHD Full-time: 3 years
    Energy-Scalable Bio-Signal Analysis and Embedded AI for Smart Health Monitoring PHD Full-time: 3 years
    Energy-Scalable AI Architectures for Resource-Constrained Edge Devices PHD Full-time: 3 years
    Exploring Security and Privacy Risks of Large Language Models PHD Full-time: 3 years
    Bio-Artificial Vision: Building an Artificial Vision System Using Biological Retinal Ganglion Cell Spike Train PHD Full-time: 3 years
    Secure Record Linkage PHD Full-time: 3 years
    Precomputation Attack Resilient Password based Authentication System Design PHD Full-time: 3 years
    Event-Driven Computer Vision: Algorithms & Programmable Hardware PHD Full-time: 3 years
    Evolving Computer Hardware for Machine Learning PHD Full-time: 3 years
    Enhancing Chronic Disease Prediction Through AI-Driven Clinical Information Extraction from Electronic Health Records PHD Full-time: 3 years
    Data and knowledge dual-driven artificial intelligence in remote sensing PHD Full-time: 3 years
    Responsibility Debt and SE Practice (ResponSE) PHD Full-time: 3 years
    Resilience and Burnout: A Game-Play, Solution-Focused Approach For Software Practitioners PHD Full-time: 3 years
    Causal Representation Learning for Decision Support Systems: Non-Communicable Diseases (NCDs) Management Empowerment via Interventions PHD Full-time: 3 years
    End-To-End Sign Language Translation into spoken language PHD Full-time: 3 years
    Malware detection beyond labelled datasets PHD Full-time: 3 years
    Automated Security of AI using Explainable AI PHD Full-time: 3 years
    Vulnerability Prioritization & Contextualization PHD Full-time: 3 years
    Approximate Matching Algorithm for Digital Forensics and Threat Hunting PHD Full-time: 3 years
    Drone Security Assurance PHD Full-time: 3 years
    Understanding the Effect of Digital Evolution on Threat Design for Cross-Platform Malware Detection PHD Full-time: 3 years
    Understanding Over-Parameterized ML Models PHD Full-time: 3 years
    Developing true gigapixel analysis of whole slide histopathology images using deep learning PHD Full-time: 3 years
    Can we have it all? Exploring the trade-offs to achieve trustworthy AI in future networks PHD Full-time: 3 Years
    Drought patterns: Analysing drought situation in Mekong River Delta PHD Full-time: 3 years
    Early warning systems for tropical diseases using Artificial Intelligence PHD Full-time: 3 years
    Security of 6G-enabled Unified Traffic Management (UTM) Systems PHD Full-time: 3 years
    Evaluating adversarial strengths of the AI algorithms PHD Full-time: 3 years
    Quantifying uncertainty for risk assessment in cyber-physical systems PHD Full-time: 3 years
    Security, Privacy and Governance in AI-assisted Unmanned Aerial Surveillance PHD Full-time: 3 Years
    Energy Efficient Accelerator for Autonomous Systems PHD Full-time: 3 years
    Energy Efficient and Trustworthy in Multi-modal Federated Learning PHD Full-time: 3 years
    Approximate Versatile Tensor Accelerator on Heterogeneous Systems PHD Full-time: 3 years
    Resilient, Real-Time, Approximate AI Accelerators Design PHD Full-time: 3 years
    AI-Assisted Accelerator Design for FPGA technologies PHD Full-time: 3 years
    Software Engineering for Artificial Intelligence and/or Machine Learning (SE4AI/ML) PHD Full-time: 3 years
    IoT-native Software Engineering PHD Full-time: 3 years
    Big Data Gravity and Friction Management PHD Full-time: 3 years
    The responsible use of generative AI when working with creative stories of lived experience PHD Full-time: 3 Years
    Using stories to evaluate the limits of generative AI and large language models, and to promote the continued value of human-interference PHD Full-time: 3 Years
    Transprecise Analytics on Dynamic Graphs PHD Full-time: 3 years
    Online performance optimisation through algorithmic choice PHD Full-time: 3 years
    Optimising Speed, Energy, and Quality of Machine Learning Models with Transprecise Computing PHD Full-time: 3 years
    Vitality Quest: Unravelling the Secrets of Super Agers PHD Full-time: 3 years
    Multimodal Video Retrieval based on Deep Learning PHD Full-time: 3 years
    Self supervised learning for information extraction and anomaly detection in scientific images PHD Full-time: 3 years
    Learning to engineer drugs PHD Full-time: 3 years
    Edge Intelligence: AI/ML-based Resource Scheduling for Edge Computing Platforms PHD Full-time: 3 years
    AI/ML-based Content Caching for Mobile Edge Computing Platforms PHD Full-time: 3 years
    Trustworthy and Explainable AI for Autonomous Vehicles (AV) PHD Full-time: 3 years
    Effective Digital Twin and Trustworthy Artificial Intelligence (AI) Model for Autonomous Vehicle Technology 2.0 PHD Full-time: 3 years
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School of Electronics, Electrical Engineering and Computer Science

Computer Science Building
16A Malone Road
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Northern Ireland
BT9 5BN

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Postgraduate Taught Enquiries

pgt-admin-eeecs@qub.ac.uk


Postgraduate Research Enquiries

pgr-admin-eeecs@qub.ac.uk


Postgraduate Telephone

+44 (0)28 9097 4642


Undergraduate Enquiries

eeecs@qub.ac.uk


Undergraduate Telephone

+44 (0)28 9097 4639


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