Are you holding Master’s degree and looking for fully funded PhD positions? Queen’s University Belfast, Northern Ireland invites online application for multiple funded PhD Programs / fully funded PhD positions in various research areas.
Candidates interested in fully funded PhD positions can check the details and may apply as soon as possible. Interested and eligible applicants may submit their online application for PhD programs via the University’s Online Application Portal.
1. Fully Funded PhD Position in Side-channel analysis countermeasure of Quantum Safe implementations on hardware (aims to FPGA)
Summary of 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
2. Fully Funded PhD Position in Effectiveness of micro shuffling to Side-channel analysis in Quantum Safe implementations on microcontroller for light-weighted crypto implementation
Summary of 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).
Application Deadline: 28 February 2025
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3. Fully Funded PhD Position in Side-channel analysis countermeasure of Quantum Safe implementations on microcontroller
Summary of 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
4. Fully Funded PhD Position in Explainable machine learning (ML) models for side-channel analysis (SCA)
Summary of 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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5. Fully Funded PhD Position in Hardware Security for Approximate Computing
Summary of PhD Program:
As IBM’s recent 2nm chip is pushing Moore’s law to its limit, conventional computing techniques are struggling to offer high performance computing within power consumption constraints. Approximate computing generates results that are good enough rather than always fully accurate. It was reported in 2018 as one of the top ten technologies that could change the world. Approximate computing offers up to an order of magnitude reduction in power consumption by accepting a margin of error in calculations, which reduces the accuracy of a specific result to within an acceptable threshold.
Application Deadline: 28 February 2025
6. Fully Funded PhD Position in Dual-Functional Millimeter-Wave Antennas for Integrated Sensing and Communication in 6G Networks
Summary of 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
7. Fully Funded PhD Position in Anti-counterfeiting Techniques Design and Analysis for IoTs
Summary of PhD Program:
According to Cisco, 500 billion devices are expected to be connected to the Internet by 2030. The Covid-19 pandemic, resulting in remote working and home-schooling, is leading to a multiplier effect on rising computing technologies. As devices are connected to the Internet, this opens up a range of new attack vectors for malicious adversaries and hackers. There has been a significant increase in attacks and threats directed at networks in 2020, including the infamous the internet of things (IoT) botnet attacks, which can harvest confidential data and execute cyber-attacks by taking control of the victim’s devices and systems remotely.
Application Deadline: 28 February 2025
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8. Fully Funded PhD Position in Sub-Terahertz Antennas for 3D Heterogeneous Integration
Summary of PhD Program:
This project proposes to investigate the design and integration of sub-terahertz antennas and arrays operating in the G-band, with a focus on creating compact, high-efficiency phased arrays and massive MIMO systems. The study will incorporate silicon-based RF integrated circuits (ICs) and III-V compound semiconductor MMICs, aiming to achieve compact, high-performance, cost-effective sub-terahertz antennas with 3D heterogeneous integration for future data-intensive applications.
Application Deadline: 28 February 2025
9. Fully Funded PhD Position in Sub-Millimeter Wave Antennas for High-Resolution Terahertz Imaging Systems
Summary of PhD Program:
This project aims to develop a high-performance antenna system tailored specifically for imaging applications in the sub-millimeter wave region. Operating at 300 and 500 GHz, the proposed antenna systems will address key imaging requirements, including fine spatial resolution, wide field-of-view (FOV), and adaptability to varying imaging distances, making it suitable for applications such as security screening and industrial inspection.
Application Deadline: 28 February 2025
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10. Fully Funded PhD Position in Advancing Future Post-Quantum Digital Signatures
Summary of PhD Program:
Digital signatures are used widely to ensure authentication, this means Alice can check that she received a message from Bob and not Eve. Signatures are used in important cryptographic protocols such as TLS to enable secure communications over a network. Moreover, there are additional types of signature schemes, such as group signatures or threshold signatures, which offer functionality for multiple parties for a variety of interesting applications. Given the ongoing advancements in quantum computing, there is an effort to ensure our current public key cryptography withstands attacks via known classical and quantum algorithms, such as Shor’s algorithm, and to ensure diversity and security of cryptography.
Application Deadline: 28 February 2025
11. Fully Funded PhD Position in Secure computation with advanced cryptography
Summary of PhD Program:
As data generation and usage increases across our daily lives, there is a need and also a regulatory requirement to consider user privacy. There are many ways to address this challenge; one technological solution is to use advanced cryptography to enable privacy-preserving computation. One technique is Homomorphic Encryption (HE), which is an exciting, advanced type of encryption, which allows computations on encrypted data, without use of a decryption key. HE can be used for secure computation in a variety of privacy-prioritising applications, finance to healthcare and beyond. Introduced in 2009, such a powerful encryption tool enables privacy-preserving data analysis, however HE suffers in terms of performance due to high computational complexity and particularly memory management demands.
Application Deadline: 28 February 2025
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12. Fully Funded PhD Position in Digital Twins for Empirical Elasticity between the Edge and Cloud
Summary of PhD Program:
Over the last few years, Infrastructure as a Service (IaaS) has become widely available with Cloud providers such as Amazon, Microsoft and Google. These IaaS providers allow us to deploy services on a pay-as-you-go basis. However, the use of the machines of IaaS providers can be expensive for a long period of time and for a big number of end-users. Moreover, the latency of the communication between the end-users and the cloud machines can be high when the cloud machines are not located close to the end-users’ devices and when the cloud machines are frequently used.
Application Deadline: 28 February 2025
13. Fully Funded PhD Position in Chatbot for Dynamic Data-Oriented Serverless Edge Computing
Summary of PhD Program:
The project proposes automatic mechanisms that design/redesign existing service-oriented software into nanoservices. The produced nanoservices are designed in such a way that follow the FaaS model of serverless computing. Moreover, the project involves mechanisms that dynamically compose/recompose nanoservices depending on the exchanged data and the used machines on the Edge. A chatbot could help developers via conversations in designing/redesigning their software using nanoservices.
Application Deadline: 28 February 2025
14. Fully Funded PhD Position in Managing Technical Debt in Research Software
Summary of PhD Program:
Researchers who write code develop software where the end goal of the activity is not actually the software itself, but rather a tangible research output (e.g., a journal article, a conference paper etc.). If the software is made well, the software then also becomes a tangible research output, eligible for a Digital Object Identifier (DOI), publication and reuse to underpin other research [1]. Although researchers-who-write-code have evolved into Research Software Engineers (RSEs), the standard practice of employing publications to assess an individual’s academic performance has remain unchanged.
Application Deadline: 28 February 2025
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15. Fully Funded PhD Position in Secure Synchronised Measurements for Smart Grids
Summary of PhD Program:
Synchronised Measurements are a vital component to the operation of novel protection and control systems in Smart Grids. This project will investigate the optimal ways to implement this emerging technology, considering several areas including metrological aspects of power system phenomena, time synchronisation technologies through to secure data telecoms.
Application Deadline: 28 February 2025
16. Fully Funded PhD Position in Machine Learning for Secure 6G Cell-Free Massive MIMO
Summary of PhD Program:
In this PhD project, we will focus on the design of cell-free massive MIMO including the machine learning techniques together with signal processing algorithms to ensure reliable and secure communications. Cell-free massive MIMO is expected to be one of the key technologies for next generation (beyond 5G and towards 6G) wireless systems. Thus, the research outputs of this project will be of high impact to both academia and industry. The students working on this project will have chances to collaborate with big research groups who are developing new technology for beyond 5G wireless systems.
Application Deadline: 28 February 2025
17. Fully Funded PhD Position in Machine Learning for Integrated Sensing and Communication
Summary of PhD Program:
This PhD project will focus on the design of ISAC, incorporating machine learning techniques along with optimization and signal processing algorithms to ensure high-performance sensing and wireless communications. ISAC is expected to be one of the key technologies for next generation (beyond 5G and towards 6G) wireless systems. Thus, the research outputs of this project will be of high impact to both academia and industry. The students working on this project will have chances to collaborate with big research groups who are developing new technology for beyond 5G wireless systems.
Application Deadline: 28 February 2025
18. Fully Funded PhD Position in Enhancing the Parallel Scalability of Molecular Dynamics Simulations with Machine Learning-Based Prediction
Summary of PhD Program:
The goal of this project is to investigate, design and evaluate algorithms for accelerating MD simulations based on the estimation or prediction of long-range field values in MD simulations. The algorithms are to minimize end-to-end execution time while minimizing the simulation error. The field values evolve non-linearly and it is an open question what models track this progression accurately. Machine learning models are broadly a feasible class of models and the aim is to identify suitable models and evaluate them in terms of their accuracy and inference overhead.
Application Deadline: 28 February 2025
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19. Fully Funded PhD Position in High-Performance Graph Processing
Summary of PhD Program:
Many disciplines rely heavily on the efficient analysis of graph-structured data, e.g., bio-informatics and computational genomics, cybersecurity, epidemiology, biology, and social sciences. Graphs can become very large, prompting the use of clusters of computers to achieve fast turn-around times. However, clusters pose multiple challenges to efficient computation, in particular for graph analytics. Very often, graphs have skewed degree distributions, making it hard to partition them properly across the nodes of the cluster. Poor partitioning inflates network communication volume, increases workload imbalance and potentially results in redundant work.
Application Deadline: 28 February 2025
20. Fully Funded PhD Position in Causal Network Analysis for Compliance Management
Summary of PhD Program:
Compliance Management (CM) refers to the process of ensuring that an organisation adheres to legal, regulatory, industry, and organisational standards and requirements. This involves developing, implementing, and maintaining policies, procedures, and practices that ensure the organisation operates within the bounds of applicable laws and regulations. Effective CM helps organisations mitigate risks, avoid legal penalties, and maintain a positive reputation.
Application Deadline: 28 February 2025
21. Fully Funded PhD Position in Signature Learning for Object Detection Using Attention Mechanisms
Summary of PhD Program:
This project will develop an attention-based model for object detection that learns distinct object signatures directly from unsegmented data. Traditional object recognition methods rely heavily on segmentation to isolate objects within images or videos, which can be challenging in cluttered or occluded environments. This project aims to bypass segmentation by leveraging attention mechanisms that focus on the most relevant regions and features, enabling the model to recognize objects based on their unique “signatures.”
Application Deadline: 28 February 2025
22. Fully Funded PhD Position in Exploring Security and Privacy Risks of Large Language Models
Summary of PhD Program:
This proposed PhD research aims to conduct an in-depth investigation into the security and privacy risks associated with large language models (LLMs). As the deployment of LLMs becomes increasingly prevalent across various domains, including security-sensitive domains, understanding and mitigating potential threats is paramount. The focus will be on studying jailbreaks, evasion from safeguards, and data privacy attacks, with the ultimate goal of proposing robust defensive strategies towards safe LLMs.
Application Deadline: 28 February 2025
23. Fully Funded PhD Position in Exploring Generative AI for Offensive and Defensive Cybersecurity: Risks and Opportunities in Malware Detection and Exploitation Generation
Summary of PhD Program:
As generative AI models, particularly large language models (LLMs), continue to advance, their potential applications in cybersecurity have attracted significant attention. These models are capable of both harmful and beneficial applications in cybersecurity, raising important research questions about how such models can be used to improve security postures while mitigating associated risks. In offensive cybersecurity, LLMs can assist attackers by generating exploit code or even zero-day vulnerabilities, a major concern for governments and organizations alike.
Application Deadline: 28 February 2025
24. Fully Funded PhD Position in Precomputation Attack Resilient Password based Authentication System Design
Summary of PhD Program:
Resiliency and Survivability at the face of real world cyber attack are in high demand as customers are demanding system designs that assure continued safety and functionality during and after systems are compromised by cyber attacks. In the context of password based authentication systems, resiliency and survivability at the face of server compromise is a big challenge and no existing scheme can withstand the damage once the server is compromised. The project investigate password authenticated key exchange (PAKE) mechanism of authentication and provide commercially viable solution that can withstand the attack followed by server compromise so as to uphold resiliency and survivability.
Application Deadline: 28 February 2025
25. Fully Funded PhD Position in Secure Record Linkage
Summary of PhD Program:
Record linkage is the technique which aims to link the records from two or more distinct sources. This has been commonly adopted in biomedical informatics to link electronic health records (EHRs) of the same patient in different medical institutions, e.g., for building the longitudinal health profile of the patient or for de-duplicating individual records in multiple databases, etc. Due to the concerns of patients’ confidentiality and/or the institutional data sharing policy, the patient records, in particular the identity keys (e.g., the patients’ name, SSN, address, etc.), cannot be directly shared with the other party.
Application Deadline: 28 February 2025
26. Fully Funded PhD Position in Secure searching over sensitive data in a multi-client setting
Summary of PhD Program:
With the advent of cloud computing, many companies and individuals outsource their data and computation to the public cloud. E-medical record is a sensitive medical data which when stored in public cloud brings a variety of risks like of data leakage to the untrusted cloud server, unauthorized access or modification operations. To assure the confidentiality of the data, the data owner needs to encrypt the sensitive data before uploading to the third party. Yet, issues like encrypted data search, flexible access and control on sensitive data have also remained the most significant challenges.
Application Deadline: 28 February 2025
27. Fully Funded PhD Position in Self-supervised summarisation of hyperspectral image data
Summary of PhD Program:
Hyperspectral imaging is an important technology in medicine, biosciences, materials sciences, remote sensing, astronomy, chemical analysis, and many other areas. Whilst the cameras that we are familiar with from day-to-day use acquire images that have three colour channels (Red, Green, Blue, or RGB), hyperspectral imagers acquire images with tens, hundreds, thousands, or even millions of colour channels. The images they acquire can reveal the world around us in tremendous details, for example, by allowing the chemical composition of an object to be understood at the molecular level, or by identifying subtle differences in the “colour” of vegetation that might allow the fertility of farmland (for example) to be understood from satellite images.
