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 Geography
Summary of PhD Program:
This exciting PhD opportunity is a collaborative studentship between Queen’s University Belfast and the Office for National Statistics. You will be supervised by Dr Gemma Catney (QUB) and Sarah Wood (Ethnicity, National Identity, Language and Religion Topic Lead, Office for National Statistics). The publication of 2021/22 Census data represents a unique and important opportunity for research that seeks to understand societal change at the local level. This project aims to provide timely and impactful evidence on the ways in which ethnic and religious diversity has grown and been shaped, and the nature of the differing – and persistently unequal – neighbourhood experiences of people from different ethnic and religious backgrounds, responding to pressing policy, political and public concerns, and scholarly questions in need of urgent attention.
Application Deadline: 29 September 2023
2. Fully Funded PhD Position in automation of mortar placing work
Summary of PhD Program:
The aim is to develop a performance designed mortar and robotic placement system using low carbon non-flammable binding materials to work with 3D mortar placing robotic systems. The mortar should have the following performance features, (1) viscosity and flow control for printing, (2) controlled setting time to allow for machine and manual finish, (3) non-combustible ingredients, (4) desired plasticity for handling and in service performance, (5) durability of 50 years in urban and aggressive marine environments, which make the project highly challenging and rewarding. The robotics will require (1) the design of a robotic mechanical system that can place mortar into the gaps between brick slips precisely, (2) optimal path planning algorithms for the robot, (3) development of advanced controllers based on model predictive control and sliding mode control technique.
Application Deadline: 30 September 2023
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3. Fully Funded PhD Position in robotics
Summary of PhD Program:
This exciting project unites economists, civil engineers, computer scientists, robotics experts and safety specialists across a number of countries to consider the development and introduction of a new type of structural steel connection that is designed for rapid assembly, disassembly, and robotic assembly. Rather than using traditional approaches of bolting or welding the proposed intermesh Steel connection (ISC) has multiple precisely cut faces that allow steel elements to be connected. Research in a previous project has demonstrated the potential feasibility of the ISC and this proposal builds on these promising results. The multi-disciplinary team will undertake a wide range of activities including laboratory work, simulation, machine learning, economic analysis and work force analysis. As well as the technical work in the project it also has a more comprehensive view of the future role of externalities such as community-based design, re-use, and recycling will lay the foundation for a radical rethinking of the economics of steel structures.
Application Deadline: 30 September 2023
4. Fully Funded PhD Position in Physics
Summary of PhD Program:
The PhD project is concerned with experimental investigations and theoretical studies of chiral coupling phenomena and cooperative interactions between quantum emitters and confined optical modes supported by various nanophotonic waveguide configurations, with the overall goal being to efficiently couple the spin of the quantum emitter and the helicity of the waveguide mode that can also be coherently coupled with multiple emitters embedded in the waveguide. Both fundamental and applied aspects of this research will be assessed from the perspectives of chiral quantum optics [1-3]. The project goals include the development of experimental and computational tools for chiral and topological nanophotonic waveguides, realization of collective coupling in chiral nanophotonic waveguides, and contribution to further progress in understanding of fundamental physical phenomena involved in light-matter interactions at nanoscale.
Application Deadline: 30 September 2023
5. Fully Funded PhD Position in Physics
Summary of PhD Program:
This project is concerned with controlled coupling between nitrogen-vacancy (NV) centres in diamond and plasmonic nanostructures with the overall goal being to efficiently couple single NV emitters to plasmonic excitations that can also improve optical spin readout efficiencies in a range of applications for the NV centre. Both fundamental and applied aspects of this research will be assessed from the perspectives of quantum plasmonics [1-4]. The project goals include the implementation of experimental and computational tools for developing new NV-plasmonic configurations to improve spin readout efficiencies in a range of applications for the NV centre including higher precision magnetic nano-sensors, with greater bandwidth. This will enable further investigation of the fundamental physics of surface plasmons and the realization of quantum-controlled devices at the nanoscale.
Application Deadline: 30 September 2023
6. Fully Funded PhD Position in traffic management
Summary of PhD Program:
This project aims to secure unified traffic management (UTM) against security risks from known and unknown adversaries that seek to compromise authentication and authorisation across various services, including cloud platforms in UTM. The project will identify vulnerabilities in the existing UTM system and mitigate them by proposing novel methods built into a framework that can reduce the impact of adversaries on the system. The proposed framework will further include features of safety and risk mitigation protocols, which can prolong the security of the UTM systems and make them resilient against cyber threats. The research will advance the state-of-the-art to make original contributions with feasibility studies conducted through a simulated/emulated environment and a UAV testbed.
Application Deadline: Open until filled
7. Fully Funded PhD Position in Computer Science
Summary of PhD Program:
In this PhD project, we aim to define the principles of cyber-defensive deception amongst UAVs using logical reasoning and understand the impact of detecting adversaries in autonomous aerial networks. We plan to form defence mechanisms against threats that evolve continuously and understand the evolution of potential hazards in aerial networks and how the defence mechanisms perceive these. We aim to identify the points of threat exploration subject to proactive and reactive defence methods and list the best possible strategy with their impact study and conditions of operations for autonomous aerial networks.
Application Deadline: Open until filled
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8. Fully Funded PhD Position in Computer Science
Summary of PhD Program:
In this PhD project, the challenging reconnaissance detection problem will be tackled by carrying out spatially and temporally network traffic and http protocol analysis employing recent AI methods for automated and efficient feature extraction, selection, reduction and malicious activity detection utilising Nvidia Bluefield Data Processing Unit (DPU), Nvidia GPU technology and Nvidia AI libraries and Morpheus framework. The project requires close collaboration with Nvidia and CSIT team in an engaging research environment.
Application Deadline: Open until filled
9. Fully Funded PhD Position in Computer Science
Summary of PhD Program:
This project will analyse cyber attacks in different domains that take into scope the full range of perpetrators, developing a technopolitical model for cyber attack analysis and attribution at the three levels of uncertainty using real historical cyber attack data and validating the model as an anticipation mechanism to help prevent cyber attacks under different assumptions for rational and irrational attackers.
Application Deadline: Open until filled
10. Fully Funded PhD Position in Computer Science
Summary of PhD Program:
In this project, we will develop a novel self-supervised model for malware. Self-supervised learning has not yet been explored in the malware detection domain. We will study how our novel model can be used to tackle the problem of concept-drift, where the distribution of malware changes over time. This approach has the potential to revolutionise the malware detection field, doing away with the need to constantly update malware detection models.
Application Deadline: Open until filled
11. Fully Funded PhD Position in Computer Science
Summary of PhD Program:
The overall goal of this proposed research project is to achieve a trustworthy automated DL-based HT detection system, which can detect HTs without requiring any pre-knowledge of circuit characteristics. The objectives are: 1) to design an automated DL-based HT detection system that can detect different types of HTs and 2) to derive novel countermeasures that ensure trustworthiness of the DL-based HT detection system against adversarial attacks.
Application Deadline: Open until filled
12. Fully Funded PhD Position in Computer Science
Summary of PhD Program:
The broadcast nature of the wireless medium makes it hard to eliminate unauthorised access to wireless networks. A typical secrecy problem in a wireless communication system involves three nodes: the transmitter, the receiver- er, and the eavesdropper. The transmitter wants to communicate with the intended receiver but does not want to let the eavesdropper learn its secret message. The eavesdropper is assumed to be passive; hence, its location is unknown to the transmitter and receiver. Perfect secrecy is achieved when the transmitter delivers a positive information rate to the legitimate receiver and ensures that the eavesdropper cannot obtain any information.
Application Deadline: Open until filled
13. Fully Funded PhD Position in Computer Science
Summary of PhD Program:
In password authenticated key exchange (PAKE), two parties, user and server, can establish an authenticated high entropy cryptographic key between them starting from a shared low entropy password pw. This is known as symmetric PAKE. On server compromise, the adversary gets access of user’s password that is saved in the server in no time. The idea of asymmetric PAKE (aPAKE) is to save a mapping of the password, say rw, with a security goal of not losing the password information pw to the adversarial hand immediately from the saved information rw even after the server compromise, however all existing aPAKEs are vulnerable to precomputation attack.
Application Deadline: Open until filled
14. Fully Funded PhD Position in Computer Science
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. Therefore, a secure algorithm is needed to achieve record linkage while the protected keys are only shared in their encrypted form.
Application Deadline: Open until filled
15. Fully Funded PhD Position in Electrical Engineering
Summary of PhD Program:
Data-driven approaches such as Machine Learning (ML), and especially deep neural networks are computationally intensive systems, and suffer from privacy leakage threats such as vulnerability to Membership Inference attacks and Property Inference Attacks. On the other hand, new brain-inspired neuromorphic architectures such as Spiking Neural Networks (SNNs) have shown state-of-the-art performance in a wide range of applications with promising characteristics. SNNs emerged as an attractive alternative to classical ML systems, due to their biological plausibility and similarity to the human brain’s functionality.
