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Abertay offers a range of funded PhD and Masters projects for enthusiastic and ambitious candidates who are interested in pursuing a research degree at Abertay University.
Funded PhD and Research Masters projects are available to students who hold (or expect to gain) either a First Class Honours degree, an Upper Second Class Honours degree or a Masters qualification.
The studentships described below are divided into three categories:
Open – Applications are currently open for these studentships. You can find further details on the Abertay jobs page and FindAPhD.com.
Closed – These studentships are now closed for applications, however, you may be interested in seeing the topics we have funded previously.
Bursary: Full sponsorship of tuition fees for a full-time postgraduate home research student (£4,786). Whilst International applicants are welcomed, applicants should be aware that the bursary is only to the amount of UK fees.
Through an innovative collaboration the university of Abertay and Dundee FC there is an exciting training opportunity for a practitioner/researcher within professional football. The role has two parts, one as a practitioner in elite football and the other as a researcher driving the development of novel strategies within football that will enhance the delivery of player performance. You will be expected to based within the club for most of the time under the mentorship of the head of performance. You will be working in the football performance team at Dundee FC helping support the clubs’ ambitions, it is expected that a minimum of 2 days a week will be spent working and training as a practitioner.
Typical duties may include:
The research topic will be decided through collaboration between the partners but will align with the club’s key performance development requirements. It is anticipated that the research topic will be in the areas of hamstring injury, GPS data modelling and player monitoring. The research will be carried out within the setting of the club with mentorship from senior academics from Abertay University. The successful candidate will have to formally apply through the Graduate School and will need to complete a research proposal that the university deems suitable, before being admitted to the MSc by research programme. They will also need to complete the formal requirements of researcher training courses and progression milestones set by the University whilst carrying out the research.
The successful candidate will be expected to cope well within a high-pressure environment, work to short deadlines and be adaptable and flexible to new situations. A minimum of 2:1 degree in a sports discipline is required.
Applications should be submitted electronically to John Babraj (j.babraj@abertay.ac.uk) and Graeme Henderson (graeme@dundeefc.co.uk) stating reference PGR-Practitioner in the subject of your email and should include:
Closing date: 08 July 2024.
To find out more and apply go to Abertay Jobs.
PhD Studentship: R-LINCS2 funded. The Studentship is available for October 2024 or February 2025 start.
A PhD studentship that comprises tax-free stipend of £19,237 (increasing in line with UKRI per annum) per year over 3.5 years, student tuition fees paid, and a generous study package (e.g. limited research consumables, travel budget, and training when appropriate).
The pan-University Graduate School offers an integrated training programme to the postgraduate community within a single centre, serving to inculcate interdisciplinary working in our next generation of researchers.
Project Description: There is an ever-increasing demand for immersive xR (mixed reality) applications across many sectors – sport, retail, gaming and healthcare. To date these applications are designed for in-door applications. This is due to xR technology requiring high computation and bandwidth to transfer data required for immersion. 5G technology can address these issues providing the required processing and bandwidth to users on the go and outdoors. The convergence of 5G and xR is in its infancy - this studentship will develop a technical pipeline which can be applied in new contexts and will seed new collaborations and research opportunities.
Key project phases:
It is anticipated that the output of this research be widespread and with significant outreach opportunities which could lead to improved interventions for encouraging gender equality across subjects and careers.
Entry Requirements: Candidates must have, or expect to obtain, a first class or upper second-class honours degree in a computing or engineering (or equivalent). We are looking for an independent, enthusiastic, and driven candidate with an understanding of networking and/or XR development. Applicants should have some development experience in either networking, network game development, XR, or edge computing.
Candidates must work well with others and represent the university when working with key stakeholders (e.g., schools).
For applicants who are non-native speakers of English, the University requires IELTS of 6.5 (with no band less than 6.5) or an equivalent qualification accepted by the Home Office.
Applications and closing date: 23.06.2024
To find out more and apply go to Abertay Jobs.
R-LINCS2 funded. The Studentship is available for a June, October 2024, or February 2025 start.
A PhD studentship that comprises tax-free stipend of £17,668 (increasing in line with UKRI per annum) per year over 3.5 years, tuition fees paid, and a generous study package (e.g. limited research consumables, travel budget, and training when appropriate).
The pan-University Graduate School offers an integrated training programme to the postgraduate community within a single centre, serving to inculcate interdisciplinary working in our next generation of researchers.
Interviews are likely to be online in September 2024.
Project Description: In the realm of AI and computer science, disciplines such as Natural Language Processing (NLP), Human-Computer Interaction (HCI), and AI-centric Language Models are critical for fostering communication and collaboration between humans and machines in the future. Despite the progress made in AI and Machine Learning, existing models still struggle to achieve a deep and precise grasp of natural languages. Although there has been remarkable progress in developing more efficient models for various NLP tasks, Deep NLP models, transformers, and large-scale language models like ChatGPT still face a significant challenge in generating engaging and coherent stories. The existing storytelling models suffer from a lack of coherence and contextuality, which can be attributed to the narrow focus on horizontal sequence-based processing. Storytelling models face challenges in coherence and contextuality due to their emphasis on horizontal sequence-based processing and struggle with narrative intricacies, demanding the incorporation of innovative AI techniques for a deeper grasp of narrative components.
Enhancing modern Deep NLP techniques requires exploring and capturing the complex interactions among words, considering diverse categories of orthographic and phonological relations, as well as the relationships between words and their contextual surroundings across a broad spectrum of texts. Through meticulous scrutiny of the multifarious ways in which words are employed and their interconnectivity, a more profound comprehension of the underlying implications and concepts can be attained. Utilising these insights enables the enhancement of current approaches. The project aims to improve machine understanding of natural languages by developing novel methods for AI-driven storytelling. The work will be focused on designing and developing methods and techniques to analyse and explore large textual datasets and lexical graph databases, discover, and extract the hidden pattern and relationship between words within a language and automatically generate stories describing and explaining those relationships. The project will combine and incorporate approaches from various disciplines including NLP, Deep Neural Networks, Computational Reasoning, Computational Linguistics, Generative AI, Graph Learning and Graph Neural Networks.
Supervisory Team: The candidate will be supervised within the School of Design and Informatics by Dr Javad Zarrin, Dr Kean Lee Kang, and Dr Darshana Jayemanne. Queries on this project should be directed to Dr. Javad Zarrin (j.zarrin@abertay.ac.uk).
Entry Requirements: Candidates must have, or expect to obtain, a first-class or upper second-class honours degree or international equivalent (preferably with a recognised master's degree) in Artificial Intelligence, Data Science, Computer Science, Mathematics, or a closely related discipline.
The successful candidates will have a solid background in AI, with experience spanning machine learning, graph learning, natural language processing, and generative AI. Experience in designing and conducting AI-driven research, coupled with a thorough grasp of research methodologies, AI-related mathematical concepts, and practical skills in Python and data analysis techniques, is highly regarded. Familiarity with storytelling and gaming is a plus but not a mandatory requirement.
For applicants who are non-native speakers of English, the University requires an IELTS of 6.5 (with no band less than 6.0) or an equivalent qualification accepted by the Home Office.
Applications closing date: 15 August 2024
To find out more and apply go to Abertay Jobs.
A related Masters-level qualification is desirable, but not essential. Otherwise you must have, or expect to obtain, a First Class or Upper Second Class Honours degree in a discipline relevant to the studentship you are applying for.
We accept an undergraduate or postgraduate degree that has been taught and assessed in a majority English speaking country, as defined by UK Visas and Immigration:
For candidates whose first language is not English or your undergraduate/Master’s degree was not awarded from a University from a UKVI designated English Speaking country, you are required to show evidence of one of the following qualifications:
If you are not a national of a majority English speaking country, then your degree must be no more than three and a half years old at the beginning of your programme of study, unless you are using IELTS, TOEFL, Trinity ISE or PTE, in which case it must be no more than two years old.
To identify whether or not you need to apply for a student visa, please see here or visit the UKVI website.
All available studentships are listed on the Abertay Jobs page, as well as FindAPhD.com. The individual listings will specify the steps you need to follow. We only accept online applications submitted via the Abertay Jobs portal.
Every single studentship will have its own specific requirements. Make sure you read them carefully.
Please note: all Research Proposals are checked for evidence of academic deceit including the inappropriate use of Generative AI. Research Proposals evidencing academic deceit will be automatically rejected on such grounds, applications will be cancelled, and applicants will be disqualified from reapplying.
Learn more about our Postgraduate Research application process, and explore the available funding options.
Find Doctorate and Research Masters opportunities with expert supervision within a multidisciplinary Graduate School and research environment.
Learn more about submitting a research proposal, research opportunities, entry requirements, English language requirements, and applying for a visa.