On behalf of the school, we would like to congratulate Yingxue Fu supervised by Mark-Jan Nederhoff, who has passed their PhD viva with minor corrections.
Thanks to Dr Alice Tonilo who was internal examiner and Professor Amir Zeldes from Georgetown University as external examiner.
Many congratulations to Yingxue!
The PGR seminars for this academic year are beginning this Friday 8th November at 2PM in JC 1.33A/B
Below is a title and Abstract for Ariane’s talk – Please do come along if you are able.
Title: Enhancing and Personalising Endometriosis Care with Causal Machine Learning
Abstract: Endometriosis poses significant challenges in diagnosis and management due to the wide range of varied symptoms and systemic implications. Integrating machine learning into healthcare screening processes can significantly enhance and optimise resource allocation and diagnostic efficiency, and facilitate more tailored and personalised treatment plans. This talk will discuss the potential of leveraging patient-reported symptom data through causal machine learning to advance endometriosis care and reduce the lengthy diagnostic delays associated with this condition.
The goal is to propose a novel personalised non-invasive diagnostic approach that understands the underlying causes of patient symptoms and combines health records and other factors to enhance prediction accuracy, providing an approach that can be utilised globally.
Fudge donuts will be available! 🍩
Lead supervisor: Dr Dharini Balasubramaniam
Application deadline: 1 March 2025
Project description:
Software ethics covers a broad spectrum of concerns including accountability, fairness, privacy and data protection, transparency, safety, security, accessibility, digital inclusion and sustainability. Much of the current dialogue on software ethics relates to the development, deployment and use of AI-based solutions, although there are ethical concerns related to most, if not all, software application domains. The pervasive nature of software, its critical importance to the functioning of many sectors, and the opaque nature of software-supported decision making in some domains all make it vital that ethical issues are explicitly considered throughout the software lifecycle.
There is generic ethics guidance, such as the ACM / IEEE Software Engineering Code of Ethics and sets of ethical principles specifically aimed at domains such as AI, available to software engineers. Generic and specific concepts such as value-based software development and responsible AI have been proposed to encourage ethical software development. However, there is still a lack of processes, notations, tools and training available to software professionals to support systematic ethical deliberation and ethics-driven development in practice.
This project will explore and attempt to address this gap. The student will design and develop ways to explicitly capture ethical requirements, risks and mitigations as first-class concepts in software artefacts. They will implement tools that work with these specifications to analyse the compliance of software artefacts with ethical requirements, and highlight potential violations and consequences. Interviews with software professionals and service providers may be used to inform and evaluate the efficacy and viability of outcomes. Open-source projects in chosen application domains may also be used for case study-based evaluation.
Topics of interest:
Specific topics of interest include, but are not limited to:
The scholarship:
We have one fully-funded scholarship available, starting in September 2025. The scholarship covers all tuition fees irrespective of country of origin and includes a stipend valued at £19,705 per annum. More details of the scholarship can be found here: https://blogs.cs.st-andrews.ac.uk/csblog/2024/10/24/phd-studentships-available-for-2025-entry/, but please note the different application deadline.
Eligibility criteria:
We are looking for highly motivated research students keen to be part of a diverse and supportive research community. Applicants must hold a good Bachelor’s or Master’s degree in Computer Science, or a related area appropriate for the topic of this PhD.
International applications are welcome. We especially encourage female applicants and underrepresented minorities to apply. The School of Computer Science was awarded the Athena SWAN Silver award for its sustained progression in advancing equality and representation, and we welcome applications from those suitably qualified from all genders, all races, ethnicities and nationalities, LGBT+, all or no religion, all social class backgrounds, and all family structures to apply for our postgraduate research programmes.
To apply:
Interested applicants can contact Dharini Balasubramaniam with an outline proposal. Full instructions for the formal application process can be found at https://www.st-andrews.ac.uk/computer-science/prospective/pgr/how-to-apply/.
The deadline for applications is 1 March 2025.
As the Internet ofThings (IoT) expands, the number of connected devices is expected to reach close to 30 billion by 2030. These devices range from simple sensors to complex embedded systems, each with unique characteristics and communication protocols. Simulating such a vast and diverse array of devices presents a significant challenge in terms of scalability, accuracy, and efficiency. This PhD project aims to develop a comprehensive framework for simulating many (1000s, 10,000s, 1,000,000s) heterogeneous IoT devices, at (hopefully) close to real-time speeds. The project will focus on designing a specialised languages for describing hardware and simulations, creating an efficient simulation environment, and exploring hardware acceleration techniques to achieve high performance and scalability.
Previous research in this area has primarily focused on simulating individual devices, smaller networks, or using simplified models that do not fully capture the intricacies of real-world IoT systems. This project seeks to address these limitations by developing a scalable simulation framework that can accurately model the behaviour of billions of heterogeneous devices, advancing the state-of-the-art in simulation languages, distributed computing, and hardware acceleration.
The project will be structured around three core research ideas:
We have one fully-funded scholarship available, starting in September 2025, which will be awarded to competitively to the best applicant. The scholarship covers all tuition fees (irrespective of country of origin) and comes with a stipend valued at £19,705 per annum. More details can be found here: https://blogs.cs.st-andrews.ac.uk/csblog/2024/10/24/phd-studentships-available-for-2025-entry/
International applications are welcome. We especially encourage female applicants and underrepresented minorities to apply. The School of Computer Science was awarded the Athena SWAN Silver award for its sustained progression in advancing equality and representation, and we welcome applications from those suitably qualified from all genders, all races, ethnicities and nationalities, LGBT+, all or no religion, all social class backgrounds, and all family structures to apply for our postgraduate research programmes.
Informal enquiries can be directed to Tom Spink. Full instructions for formal applications can be found at https://www.st-andrews.ac.uk/computer-science/prospective/pgr/how-to-apply/
The deadline for applications is 1 March 2025.
The school of Computer Science at the University of St Andrews has a fully-funded scholarship available working in the Programming Languages Research Group with Dr Christopher Brown. Applications must be received by 1 March 2025.
Algorithmic skeletons provide a convenient and high-level approach to writing efficient parallel software by leveraging common patterns of parallel behaviours. A skeleton library presents the programmer with a library of high-level parallel interfaces, abstracting away the low-level complexities of manually handling concurrency primitives, e.g. locking, synchronisation and thread creation. Skeletons give an excellent compromise between ease of programming and the ability to generate highly efficient parallel software. A wide range of skeletons have been developed for several different languages, including Fastflow, TBB, PPL and OpenMP. However, despite the proliferation of skeleton libraries, there is little support for an increasingly popular class of programming languages equipped with dependent types.
Dependently-typed programming languages address the problem of program safety by ensuring that code conforms to its specification. This is achieved by permitting types to depend on values, thereby allowing programmers to express logical properties, and proof, as intrinsic parts of their programs. This conformance is checked at compile-time. This interest in dependent-types has resulted in a number of functional languages such as pi-forall, Agda, Idris and Coq. However, despite these developments in types, these dependently-typed languages still lack a parallel implementation, making development of safe parallel programs impossible.
This project will explore approaches to designing and implementing a dependently-typed parallel programming language. These approaches will consider the technical challenges, but also balancing those with the high-level usability that skeletons bring and the performance expectations of a performant system. As part of this exploration, use-cases will also need to be developed, and the scientific evaluation of the performance of the system will need to be carried out.
This project is largely exploratory in nature, and may take several different approaches and directions, including (but not limited to):
We have one fully-funded scholarship available, starting in September 2025, which will be awarded to competitively to the best applicant. The scholarship covers all tuition fees (irrespective of country of origin) and comes with a stipend valued at £19,705 per annum. More details can be found here: https://blogs.cs.st-andrews.ac.uk/csblog/2024/10/24/phd-studentships-available-for-2025-entry/
International applications are welcome. We especially encourage female applicants and underrepresented minorities to apply. The School of Computer Science was awarded the Athena SWAN Silver award for its sustained progression in advancing equality and representation, and we welcome applications from those suitably qualified from all genders, all races, ethnicities and nationalities, LGBT+, all or no religion, all social class backgrounds, and all family structures to apply for our postgraduate research programmes.
Informal enquiries can be directed to Chris. Full instructions for formal applications can be found at https://www.st-andrews.ac.uk/computer-science/prospective/pgr/how-to-apply/
The deadline for applications is 1 March 2025.
The School of Computer Science at the University of St Andrews is offering a number of PhD scholarships for 3.5 years of study in our doctoral research programme. UK, EU and International students are all eligible for fully-funded scholarships consisting of tuition and a stipend. These awards are part-funded through the University of St Andrews’ ‘handsel’ scheme for tuition waivers.
The School of Computer Science is a centre of excellence for computer science teaching and research, with staff and students from Scotland and all parts of the world. It is a member of the Scottish Informatics and Computer Science Alliance (SICSA).
We are looking for highly motivated research students willing to be part of a diverse and supportive research community. Applicants must hold a good Bachelor’s or Master’s degree in Computer Science, or a related area appropriate for their proposed topic of study.
International applications are welcome. We especially encourage female applicants and underrepresented minorities to apply. The School of Computer Science was awarded the Athena SWAN Silver award for its sustained progression in advancing equality and representation, and we welcome applications from those suitably qualified from all genders, all races, ethnicities and nationalities, LGBT+, all or no religion, all social class backgrounds, and all family structures to apply for our postgraduate research programmes.
All applications received before 1st February 2025 will be considered for these scholarships.
Any PhD application received by the deadline will be automatically considered for these scholarships. There is no need for a separate application.
The School’s main research themes are Artificial Intelligence, Health Informatics, Human-Computer Interaction, Programming Languages, and Systems. You can find further details at https://www.st-andrews.ac.uk/computer-science/research/themes/. In addition, we have cross-cutting research groups in Complex and Adaptive Systems, Computer Vision, Constraints, Data Science, MedTech, Research Software, and Responsible Computing. Applicants with interests in any of these areas are encouraged to develop a relevant research proposal and apply.
The best way to obtain a place and a scholarship is to make a robust PhD application. You are strongly encouraged to read the application guidance written on our webpages. Note that this guidance asks you to approach supervisors before formal submission to discuss your project ideas with them. Historically, applications with no named supervisor have been much less likely to result in an offer. We provide a list of existing faculty, areas of research and some potential project ideas. All supervisors listed on this page may be contacted directly to discuss possible projects. You can define your own project or discuss a project currently on offer.
Full application instructions can be found at https://www.st-andrews.ac.uk/computer-science/prospective/pgr/how-to-apply/. Enquiries and questions may be directed to pg-admin-cs@st-andrews.ac.uk.
The School is hosting an AI seminar on Friday 18th October at 11.30am in JCB1.33A!
Our speaker is Leonardo Bezerra from the University of Stirling.
FAIRTECH by design: assessing and addressing the social impacts of artificial intelligence systems
In a decade, social media and big data have transformed society and enabled groundbreaking artificial intelligence (AI) technologies like deep learning and generative AI. Applications like ChatGPT have impacted the world and outpaced regulatory agencies, who were rushed from a data-centred to an AI-centred concern. Recent developments from both the United Kingdom (UK) and the United States (US) originated in the executive branch, and the most advanced Western binding legislation is the European Union (EU) AI Act, expected to be implemented over the next three years. In the meantime, the United Nations (UN) have proposed an AI advisory body similar to the International Panel on Climate Change (IPCC), and countries from the Global South like Brazil are following Western proposals. In turn, AI companies have been proactive in the regulation debate, aiming at a scenario of improved accountability and reduced liability. In this talk, we will briefly overview efforts and challenges regarding AI regulation and how major AI players are addressing it. The goal of the talk is to stir future project collaborations from a multidisciplinary perspective, to promote a culture where the development and adoption of AI systems is fair, accountable, inclusive, responsible, transparent, ethical, carbon-efficient, and human-centred (FAIRTECH) by design.
Speaker bio: Leonardo Bezerra joined the University of Stirling as a Lecturer in Artificial Intelligence (AI)/Data Science in 2023, after having been a Lecturer in Brazil for the past 7 years. He received his Ph.D. degree from Université Libre de Bruxelles (Belgium) in 2016, having defended a thesis on the automated design of multi-objective evolutionary algorithms. His research experience spans from applied data science projects with public and private institutions to supervising theses on automated and deep machine learning. Recently, his research has concentrated on the social impact of AI applications, integrating the Participatory Harm Auditing Workbenches and Methodologies project funded by Responsible AI UK.
On behalf of the school, we would like to congratulate Di Wu supervised by Blesson Varghese, who has passed his PhD viva with minor corrections.
Thanks to Professor Graham Kirby who was internal examiner and Dr Chris Anagnostopoulos from Glasgow as external examiner.
Congratulations to Jordina Frances de Mas for passing her viva subject to minor corrections!
Many thanks to Didier Galmiche for serving as the external examiner and Ruth Hoffman as the internal examiner.
Applications are sought from passionate, creative and outgoing students interested in using their skills and interests in tabletop gaming in application to research in computer science, Human Computer Interaction, and User Experience design. This exciting PhD project will see the worlds of TTRPG and computing coincide to produce meaningful interactions to support the design, development and deployment of technology, whether from the software level, or at the pipeline level in support of those who will become developers and designers.
Tabletop Role Playing Games (TTRPG) allow the player to immerse themselves in a world where anything can happen — within the rules. You can become someone new, fight demons, play out exciting and speculative storylines, all with the help of your party. This ability to place yourself in the life of another person (or ethereal being) resonates with principles of User Experience Design (UX) where usability experts strive to understand the impact their application or interface might have on a hypothetical audience. There is also the potential for this technique to be used in computer science education, to enable students to explore real world design and programming processes, and the ethical challenges that ensue with the creation of new software and hardware.
The difficulty in eliciting requirements from users, especially users with complex interaction needs, is well-established in literature (Ferreira et al., 2019; Heumader et al., 2018; Pacheco et al., 2018). The process is one that is primarily an ongoing act of interpretation in which user ‘wants’ are translated from interviews, observation, focus groups and such into actionable ‘needs’ that can then be addressed in further design and development. The literature thus makes a distinction between ‘gathering’ requirements – as in collecting together feedback – versus ‘eliciting’ requirements, which is a a more participatory form of ongoing interpretation. As noted by Pacheco et al. the process is highly contextual and its complexities are influenced by everything from the project, the organisation, the environment, and the prior-experiences and skill-sets of all involved parties. It is also dependent on the requirements elicitation techniques employed.
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