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- Tasks: Engage in groundbreaking AI research across various disciplines.
- Company: University of Nottingham, a leader in science and technology education.
- Benefits: Fully funded PhD with a tax-free stipend and peer learning opportunities.
- Why this job: Shape the future of AI while collaborating with top experts in a supportive environment.
- Qualifications: 2:1 Bachelor or Master’s degree in a relevant field required.
- Other info: Join a dynamic cohort and gain invaluable skills for your future career.
The predicted salary is between 18800 - 22000 £ per year.
Institution: University of Nottingham – Faculty of Science AI Doctoral Training Centre
Location: UK
Reference: SCI3058
Closing Date: Sunday, 19 April 2026
Start Date: 1st October 2026
Duration: 42 months
Funding: Fully funded with annual UKRI tax-free stipend (£21,805) – Home students only
The AI Doctoral Training Centre (DTC) at the University of Nottingham trains future leaders in foundational and applied AI research through a multidisciplinary cohort-based approach.
PhD studentships offer:
- Choice of AI‑related multidisciplinary research projects across Arts, Engineering, Medicine & Health Sciences, Science, and Social Sciences.
- Fully‑funded PhD with tax‑free stipend.
- Participation in a cohort‑based program, providing peer‑to‑peer learning and transferable skills development.
- Supervision by world‑class academic experts in AI and related disciplines.
Entry Requirements
Normally a 2:1 Bachelor or Master’s degree (or international equivalent) in a relevant discipline. Admission is subject to University requirements.
Application Process
Informal application directly to the division or supervisor of the chosen project. Post‑interview formal application via the MyNottingham system, specifying supervisor name and project title.
This PhD is ideal for students wanting to work at the intersection of AI and multidisciplinary research, in a fully‑funded, cohort‑based training environment.
Researcher in Computer Sciences in Nottingham employer: Polytechnicpositions
Contact Detail:
Polytechnicpositions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Researcher in Computer Sciences in Nottingham
✨Tip Number 1
Network like a pro! Reach out to current PhD students or faculty at the University of Nottingham. They can give you insider info on the application process and what the supervisors are really looking for.
✨Tip Number 2
Prepare for your interview by diving deep into your chosen research project. Show us that you’re not just interested, but passionate about how your background fits into the multidisciplinary approach of the AI Doctoral Training Centre.
✨Tip Number 3
Don’t forget to highlight your transferable skills! Whether it’s teamwork from group projects or problem-solving from past experiences, make sure we see how these skills will help you thrive in a cohort-based environment.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets the attention it deserves. Plus, you’ll find all the resources you need to make your application stand out.
We think you need these skills to ace Researcher in Computer Sciences in Nottingham
Some tips for your application 🫡
Do Your Research: Before you dive into your application, take some time to explore the AI Doctoral Training Centre and the specific projects available. Understanding the faculty's work will help you tailor your application and show us that you're genuinely interested in what we do.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Make sure to highlight your relevant experience and how it aligns with the multidisciplinary approach of the programme. We want to see your passion for AI and research, so let your personality come through!
Follow the Application Process: Remember, the first step is an informal application directly to the division or supervisor. Make sure you get this right before moving on to the formal application via MyNottingham. We’re here to guide you, so don’t hesitate to reach out if you have questions!
Proofread, Proofread, Proofread!: Typos and errors can distract from your amazing qualifications. Take the time to proofread your application thoroughly. Better yet, ask a friend to read it over too! We want to see your best work, so make sure everything is polished before you hit send.
How to prepare for a job interview at Polytechnicpositions
✨Know Your Research
Before the interview, dive deep into the specific AI-related research projects offered by the University of Nottingham. Familiarise yourself with the faculty's work and think about how your background aligns with their projects. This shows genuine interest and helps you articulate how you can contribute.
✨Prepare Thoughtful Questions
Interviews are a two-way street! Prepare insightful questions about the cohort-based programme and the supervision style of the academic experts. This not only demonstrates your enthusiasm but also helps you gauge if the environment is the right fit for you.
✨Showcase Your Multidisciplinary Skills
Since this position values a multidisciplinary approach, be ready to discuss how your skills from different fields can enhance your research in AI. Share specific examples of past projects or experiences that highlight your versatility and adaptability.
✨Practice Your Presentation
You might need to present your previous work or ideas during the interview. Practise explaining complex concepts clearly and concisely. Use visuals if possible, and make sure to engage your interviewers by inviting their thoughts and feedback.