Coventry University
4 days ago
Funded PhD in Explainable Neuro-Symbolic AI for Mathematical Sciences Data Generation Coventry University in United Kingdom
Degree Level
PhD
Field of study
Computer Science
Funding
Funded PhD project with tuition fees and bursary/stipend. Funding notes mention tuition fees and stipend, indicating a funded studentship rather than self-funded study.
Country
United Kingdom
University
Coventry University

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About this position
Funded PhD opportunity at Coventry University in collaboration with Stellenbosch University on Explainable Neuro-Symbolic AI for Novel Mathematical Sciences Data Generation.
The project sits at the intersection of artificial intelligence, machine learning, computational mathematics, mathematics education, data science, and explainable AI. It aims to develop neuro-symbolic AI tools that combine deep learning with symbolic, rule-based methods to generate high-quality synthetic mathematics/STEM education data, improve interpretability, reduce hallucinations, and support trustworthy AI for teaching and research.
Research themes include synthetic data generation for mathematical sciences, auditing bias in mathematics data, evaluating practitioner trust and explainability, and designing ethical safeguards for AI-supported STEM learning. The student will start at Coventry University in the UK and visit Stellenbosch University in South Africa for an extended period in the second year.
Supervision is by Prof. Matthew England (Coventry University) and Prof. Anass Bayaga (Stellenbosch University).
Funding includes tuition fees and a bursary/stipend.
Eligibility highlights: 2:1 first degree in a relevant discipline, a relevant master's degree with merit-level marks, strong mathematics background, Python programming ability, and English language proficiency (IELTS Academic 6.5 overall with 6.0 in each component). Experience with machine learning, software development practices, and prior research is advantageous.
How to apply: contact the supervisors for more information, then submit the full application with supporting documents, a covering letter, and a 2000-word supporting statement. The research proposal should reference 4–5 recent papers related to the topic.
Funding details
Funded PhD project with tuition fees and bursary/stipend. Funding notes mention tuition fees and stipend, indicating a funded studentship rather than self-funded study.
What's required
Applicants need at least a 2:1 first degree in a relevant discipline with at least 60% in the project element or equivalent and a master's degree in a relevant subject with merit-level overall marks (60%) and merit-level dissertation/equivalent (60%). Candidates should show potential to complete the PhD within 3.5 years, have strong mathematics grades at high school, and have an undergraduate degree with a mathematics component such as mathematics, computer science, or engineering. They should be able to program in a high-level language such as Python; professional software development skills such as version control and testing are advantageous. Prior machine learning/AI development and prior research experience are advantageous. English language proficiency is required with IELTS Academic 6.5 overall and 6.0 in each component.
How to apply
Contact the supervisors by email to find out more, then submit the full application with supporting documentation, a covering letter, and a 2000-word supporting statement. Use the personal statement to show relevant experience and the research proposal to discuss 4–5 recent papers related to the topic.
More information can be found here
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