At a Glance
- Tasks: Develop AI models for engineering, analyse data, and validate methodologies.
- Company: Swansea University, in collaboration with The Welding Institute.
- Benefits: Fully funded scholarship covering tuition and a UKRI stipend.
- Other info: Gain hands-on experience with industry challenges and advanced research facilities.
- Why this job: Make a real impact in engineering with cutting-edge AI research.
- Qualifications: 2:1 degree in Engineering, Computer Science, or related fields required.
The predicted salary is between 18000 - 20000 £ per year.
Swansea University is offering a fully funded EPSRC TWI-sponsored PhD scholarship focused on the development and application of artificial intelligence (AI) models within engineering contexts. This doctoral research opportunity is based within the Faculty of Science and Engineering and will be conducted in collaboration with The Welding Institute (TWI), a leading industrial research and technology organisation.
The project aims to advance AI‑driven modelling approaches for engineering applications, with a particular focus on improving predictive capabilities, optimisation processes, and data‑driven decision‑making in industrial systems. The successful candidate will work at the interface of artificial intelligence, data science, and engineering, contributing to innovative research with direct industrial relevance.
The role involves developing computational models, analysing complex datasets, and validating AI methodologies in collaboration with academic and industry partners. The PhD programme provides access to state‑of‑the‑art research facilities, expert supervision, and opportunities for professional development. The candidate will also benefit from close engagement with TWI, gaining exposure to real‑world engineering challenges and industry practices.
The scholarship covers full tuition fees and includes a UKRI standard stipend. The position is offered on a full‑time basis for a standard doctoral duration, subject to satisfactory academic progress.
Eligibility Criteria- A minimum of a 2:1 undergraduate degree (or equivalent) in Engineering, Computer Science, Data Science, Mathematics, or a closely related discipline
- Candidates must meet UKRI eligibility requirements for funding (home and international applicants may be considered, subject to funding rules)
- Strong background in artificial intelligence, machine learning, or data science
- Knowledge of engineering principles or interest in applying AI to engineering problems
- Experience with programming languages such as Python or similar
- Familiarity with data analysis, modelling, and computational methods
- Strong analytical, problem‑solving, and research skills
- Excellent communication skills and ability to work collaboratively in interdisciplinary teams
Full tuition fees covered and UKRI standard stipend (rate in line with UKRI guidelines).
EPSRC TWI-Sponsored PhD Scholarship in AI Models for Engineering (RS939) in Swansea employer: RFCSR
Swansea University is an exceptional employer, offering a fully funded EPSRC TWI-sponsored PhD scholarship that combines cutting-edge research in artificial intelligence with practical engineering applications. The Faculty of Science and Engineering fosters a collaborative work culture, providing access to state-of-the-art facilities and expert supervision, while also ensuring professional development opportunities through close engagement with industry partners like The Welding Institute. This role not only supports academic growth but also allows candidates to tackle real-world challenges, making it a rewarding environment for aspiring researchers.
StudySmarter Expert Advice🤫
We think this is how you could land EPSRC TWI-Sponsored PhD Scholarship in AI Models for Engineering (RS939) in Swansea
✨Tip Number 1
Network like a pro! Reach out to current PhD students or faculty members at Swansea University. They can give you the inside scoop on the application process and what it’s really like to work in AI models for engineering.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing any relevant projects or research you've done in AI, data science, or engineering. This will help you stand out during interviews and demonstrate your hands-on experience.
✨Tip Number 3
Practice makes perfect! Get ready for potential interviews by rehearsing answers to common questions about your research interests and how they align with the scholarship's goals. We recommend doing mock interviews with friends or mentors.
✨Tip Number 4
Apply through our website! It’s the easiest way to ensure your application gets noticed. Plus, you’ll find all the details you need about the scholarship and the exciting opportunities that come with it.
We think you need these skills to ace EPSRC TWI-Sponsored PhD Scholarship in AI Models for Engineering (RS939) in Swansea
Some tips for your application 🫡
Show Your Passion for AI and Engineering:When writing your application, let us see your enthusiasm for artificial intelligence and its application in engineering. Share any relevant projects or experiences that highlight your interest and skills in this area.
Tailor Your CV and Cover Letter:Make sure to customise your CV and cover letter to align with the scholarship's focus on AI models for engineering. Highlight your academic achievements, programming skills, and any experience with data analysis that relates to the role.
Be Clear and Concise:We appreciate clarity! Keep your application straightforward and to the point. Use bullet points where necessary and avoid jargon unless it’s relevant to the role. This will help us quickly understand your qualifications.
Apply Through Our Website:Don’t forget to submit your application through our official website. It’s the best way to ensure we receive all your materials correctly and can process your application efficiently.
How to prepare for a job interview at RFCSR
✨Know Your AI and Engineering Stuff
Make sure you brush up on your knowledge of artificial intelligence and engineering principles. Be ready to discuss how you've applied AI in past projects or how you envision using it in engineering contexts. This shows you're not just a theory person but someone who can apply their knowledge practically.
✨Show Off Your Programming Skills
Since programming is key for this role, be prepared to talk about your experience with languages like Python. You might even want to bring examples of your coding work or projects where you've used programming to solve engineering problems. This will demonstrate your hands-on skills and technical expertise.
✨Prepare for Problem-Solving Questions
Expect questions that test your analytical and problem-solving abilities. Think of specific challenges you've faced in previous projects and how you overcame them. Use the STAR method (Situation, Task, Action, Result) to structure your answers clearly and effectively.
✨Engage with Your Interviewers
Remember, interviews are a two-way street! Prepare thoughtful questions about the PhD programme, the collaboration with TWI, and the research facilities. This not only shows your interest but also helps you gauge if the position is the right fit for you.
