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15 PhD Programs – Fully Funded at Queen’s University Belfast, Northern Ireland

Do you have a Master’s degree and are looking for fully funded PhD opportunities? Queen’s University Belfast, Northern Ireland is now accepting applications for several funded PhD programs across a range of research areas.

1. Fully Funded PhD in Dual-Functional Millimeter-Wave Antennas for Integrated Sensing and Communication in 6G Networks

Summary of Funded PhD Program

The proposed research will develop unique mmWave antenna and array designs that allow simultaneous communication and sensing functions, particularly suited to the demands of 6G networks. Addressing the typical drawbacks at mmWave frequencies, the design will utilize shared aperture antennas for efficient resource allocation between communication and MIMO radar sensing, thus enhancing indoor coverage and reliability without excessive hardware requirements.

Application Deadline: 28 February 2025

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2. Fully Funded PhD in Explainable machine learning (ML) models for side-channel analysis (SCA)

Summary of Funded PhD Program

The crypto algorithm is safe in theory, but their implementations still leak information to side-channel and can be attacked with Differential Power Analysis (DPA), Correlation Power Analysis (CPA) and state-of-the-art machine learning (ML). Even though SCA countermeasure method like masking is applied to make the implementations safer under DPA and CPA, ML can learn the features of the mask and the sensitive data and be able to attack the protected implementations. The training and attacking process of ML does not show what and where are those features come from, and so cannot explain how a ML model can successfully combine those leakage in analysis.

Application Deadline: 28 February 2025

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3. Fully Funded PhD in Side-channel analysis countermeasure of Quantum Safe implementations on microcontroller

Summary of Funded PhD Program

The conventional cryptography is claimed will be broken due to the appearance of Quantum Computer. Various PostQuantum crypto (PQC) or Quantum Safe algorithms are proposed and went to standardization like Lattice-based CRYSTALS-Kyber. However, the implementation of those algorithms in software leaks sensitive information (like private key) to side-channel (like electromagnetic field, power consumption and execution time) and can be revealed in less than 50 traces (50 decryption times) with the help of machine learning or using conventional correlation power analysis (CPA).

Application Deadline: 28 February 2025

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4. Fully Funded PhD in Effectiveness of micro shuffling to Side-channel analysis in Quantum Safe implementations on microcontroller for light-weighted crypto implementation

Summary of Funded PhD Program

The conventional cryptography is claimed will be broken due to the appearance of Quantum Computer. Various PostQuantum crypto (PQC) or Quantum Safe algorithms are proposed and went to standardization like Lattice-based CRYSTALS-Kyber. However, the implementation of those algorithms in software leaks sensitive information (like private key) to side-channel (like electromagnetic field, power consumption and execution time) and can be revealed with the help of machine learning or conventional correlation power analysis (CPA). Even though complex and high computational SCA countermeasure methods are applied, the implementations still leak sensitive information.

Application Deadline: 28 February 2025

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5. Fully Funded PhD in Side-channel analysis countermeasure of Quantum Safe implementations on hardware (aims to FPGA)

Summary of Funded PhD Program

This project aims to identifying actual and potential leakage operation of the implementations on hardware, aiming to FPGA implementation before applying various hardware oriented SCA countermeasure methods like dual-rail logic, dual-rail memory, various hardware dedicated multiplication, masking (additive, multiplicative and affine), shuffling to make the implementation of PQC safer under SCA.

Application Deadline: 28 February 2025

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6. Fully Funded PhD in Software-Defined FHE: Rethinking Homomorphic Encryption Libraries via Software-Defined Arithmetic Optimizations

Summary of Funded PhD Program

The goal of this project is to explore software-defined computer arithmetic and develop new numerical formats with their corresponding customized arithmetic operations tailored for homomorphic encryption. A highly efficient software library will be created to facilitate the widespread use of FHE, making it suitable for processing encrypted data in machine learning environments.

Application Deadline: 28 February 2025

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7. Fully Funded PhD in Enhancing Arithmetic Efficiency in Lattice-Based Post-Quantum Cryptography Hardware Accelerators

Summary of Funded PhD Program

The aim of this project is to enable high arithmetic efficiency in Lattice-Based Post-Quantum Cryptography (PQC) by developing new implementations that address the overheads of conventional PQC hardware accelerators. This project will extract and profile the inefficient arithmetic structures used in implementing PQC and redesign them with compact number representations. This enables high utilization of accelerator datapaths without losing precision. Throughout this project, a variety of techniques, including approximate computing and customized residue number systems, will be utilized to achieve high-performance and practical hardware implementations of PQC.

Application Deadline: 28 February 2025

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8. Fully Funded PhD in Decentralized Trust Zone for Remote Health Monitoring

Summary of Funded PhD Program

The student will establish a decentralized network of AI models deployed on edge devices to process health data locally. Implement federated learning techniques to enable AI models to learn from data across multiple devices without sharing raw data. Develop secure communication protocols for model updates and aggregation. Integrate basic health monitoring sensors and devices to collect initial data for model training. Enhance the AI models with predictive analytics capabilities and integrate blockchain for secure data management.

Application Deadline: 28 February 2025

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9. Fully Funded PhD in Zero Trust Power Management for On-Chip Systems

Summary of Funded PhD Program

The project aims to enhance the security and efficiency of on-chip systems by integrating advanced power management techniques with zero trust architecture principles. This project focuses on developing a novel power distribution controller that dynamically allocates power based on real-time demand and security requirements, while continuously verifying the identity and trustworthiness of system components. By combining secure boot mechanisms, micro-segmentation, and anomaly detection, this project seeks to create a robust and resilient on-chip system capable of defending against cyber threats.

Application Deadline: 28 February 2025

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10. Fully Funded PhD in Fault tolerant post quantum cryptography systems for satellite communications

Summary of Funded PhD Program

The number of space-based entities and missions is experiencing explosive growth, supporting critical applications like global communication, disaster relief, and national security. These missions rely on secure communication for data exchange and command and control. The longevity of satellites and their associated infrastructure along with the difficulty of changing anything after the launch requires long-term public key cryptography security solutions.

Application Deadline: 28 February 2025

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11. Fully Funded PhD in Hardware assisted homomorphic encryption (HE) acceleration

Summary of Funded PhD Program

This project will explore algorithmic and architectural optimizations by designing and developing a specially optimized hardware accelerator for these somewhat homomorphic encryption schemes on FPGA. In the HE setting, there are two entities, client and cloud. The client encodes and encrypts its data and sends it to the cloud where homomorphic computations are performed on the encrypted data while keeping it confidential. 

Application Deadline: 28 February 2025

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12. Fully Funded PhD in Advanced AI Methods for Analysing Nutritional Influences on Cognitive and Mental Health

Summary of Funded PhD Program

Cognitive and mental health conditions, including anxiety, depression, and neurodegenerative diseases, affect millions of people worldwide, posing a significant public health challenge. Emerging research underscores that nutrition plays a critical role in influencing mental wellbeing and cognitive functions. Nutritional intake—alongside factors like medication, lifestyle, and environmental influences—affects brain function, neurotransmitter balance, and overall mental well-being. 

Application Deadline: 28 February 2025

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13. Fully Funded PhD in Addressing Challenges of Multi-Modal Data Analysis in Application to Precision Medicine

Summary of Funded PhD Program

Precision medicine aims to tailor healthcare interventions based on individual differences in patients’ genetic, environmental, and lifestyle factors. This personalized approach has gained momentum through the availability of diverse biomedical data modalities, which provide comprehensive insights into human health and disease. Examples of biomedical data modalities include: genomic data (high-dimensional sequences representing genetic information), imaging data (rich visual information from modalities like MRI or CT scans, often with a large spatial resolution but comparatively low feature dimensionality), clinical records (longitudinal data capturing patients’ medical histories, treatment plans, and outcomes, generally unstructured and variable in length). 

Application Deadline: 28 February 2025

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14. Fully Funded PhD in Adaptive Modular Converter-Based Energy Storage for Grid-Optimal Virtual Synchronous Generators

Summary of Funded PhD Program

The modular power converter-based energy storage system has emerged as a cutting-edge technology in renewable energy integration and grid stability. Nonetheless, adaptive and optimal control for these systems in virtual synchronous generators still needs to be explored in the existing literature. This research will explore an adaptive and optimal virtual synchronous generator technology for modular-based energy storage systems. An advanced model reference adaptive controller will be designed and advanced intelligent control technology will be employed to optimise the parameters of the reference model in the adaptive controller, effectively adapting to variations in power grid dispatching.

Application Deadline: 28 February 2025

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15. Fully Funded PhD in Hybrid Energy Storage Systems for Wind Energy in Medium Voltage DC Applications

Summary of Funded PhD Program

This project aims at exploring a hybrid energy storage system (HESS) that combines multiple energy storage technologies; batteries and supercapacitors to optimise the utilisation of wind power in MVDC networks.  The project will focus on designing adaptive control that facilitate the integration of HESS to respond to the dynamic changes of wind generation and variable loads. An advanced model predictive control will also be designed to optimise the operation of the HESS while maintaining high power quality. This includes addressing frequency stability and rapid response to grid disturbances.

Application Deadline: 28 February 2025

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