At a Glance
- Tasks: Analyse data, develop digital tools, write papers, and present at conferences.
- Company: Leeds Beckett University, a leader in AI research and innovation.
- Benefits: Generous pension, flexible working, excellent holidays, and subsidised fitness facilities.
- Other info: Job sharing available; apply for fractional appointments if needed.
- Why this job: Join a dynamic team transforming ADHD and Autism services with AI.
- Qualifications: Knowledge of AI, strong research skills, and teamwork enthusiasm.
The predicted salary is between 30000 - 40000 £ per year.
Leeds Beckett University is expanding its computer science research. Among others, it has a long‑term collaboration with the South‑West Yorkshire Partnership NHS Foundation Trust (SWYT) to use digital technologies and AI to transform the Trust’s delivery of its adult ADHD and Autism services; participates in the EU‑funded project THIRDWAVE on neurosymbolic AI and Large Language Models; and has a portfolio of applied AI research in health, finance, environment and business.
We invite you to apply for a 12‑month fixed‑term Research Officer position to help deliver on a funded collaboration with SWYT. Duties could include, among others:
- Analyse data
- Maintain and develop digital tools
- Write scientific papers
- Present at conferences
Qualifications
- Knowledge and experience of AI and digital technologies
- Enthusiasm for the research area
- A strong research track record
- Willingness to work in a research team
Employment Terms
Job sharing is possible. If you are interested in a fractional appointment lower than 0.5 FTE, please indicate that clearly in your application. You will join the School of the Built Environment, Engineering and Computing based at our Headingley Campus and contribute to the delivery of our research into AI.
Closing Date
Closing date: Monday 29th June 2026 (2359)
Benefits
Working here means you’ll also have access to a wide range of benefits including our generous pension schemes, excellent holiday entitlements, flexible working, reduced study fees, subsidised fitness facilities and a lot more.
Contact
For informal enquiries about this post please contact Professor Grigoris Antoniou at g.antoniou@leedsbeckett.ac.uk
EEO Statement
We welcome applications from all individuals and particularly from black and minority ethnic candidates as members of these groups are currently under‑represented at this level of post. All appointments will be based on merit.
Research Officer in Artificial Intelligence (0.5FTE, fixed term 12 months) in Leeds employer: Leeds Beckett University
Leeds Beckett University is an exceptional employer, offering a vibrant work culture that fosters innovation and collaboration in the field of computer science research. With access to generous benefits such as flexible working arrangements, excellent holiday entitlements, and opportunities for professional development, employees are empowered to thrive both personally and professionally. Located at the Headingley Campus, you will be part of a dynamic team dedicated to transforming health services through cutting-edge AI research, making a meaningful impact in the community.
StudySmarter Expert Advice🤫
We think this is how you could land Research Officer in Artificial Intelligence (0.5FTE, fixed term 12 months) in Leeds
✨Tip Number 1
Network like a pro! Reach out to people in the AI and digital tech fields, especially those connected to Leeds Beckett University. Attend events, join online forums, and don’t be shy about asking for informational interviews. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your research projects, data analysis, or any digital tools you've developed. This is your chance to demonstrate your expertise in AI and digital technologies, making you stand out when you apply through our website.
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of current AI trends and the specific projects at Leeds Beckett. Be ready to discuss how your experience aligns with their work, especially in health and finance. Confidence is key!
✨Tip Number 4
Follow up after applying! A quick email expressing your enthusiasm for the role can keep you on their radar. It shows initiative and genuine interest, which can make a big difference in the hiring process.
We think you need these skills to ace Research Officer in Artificial Intelligence (0.5FTE, fixed term 12 months) in Leeds
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your application to highlight your experience with AI and digital technologies. We want to see how your skills align with the exciting projects we’re working on, especially in health and research.
Show Your Enthusiasm:Let your passion for research shine through! We love candidates who are genuinely excited about the field of AI and its applications. A little enthusiasm can go a long way in making your application stand out.
Be Clear and Concise:When writing your application, keep it clear and to the point. We appreciate well-structured responses that get straight to the heart of your qualifications and experiences without unnecessary fluff.
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way to ensure it gets to us directly. Plus, you’ll find all the details you need right there to make your application as strong as possible.
How to prepare for a job interview at Leeds Beckett University
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI and digital technologies. Be ready to discuss recent advancements in the field, especially those related to health and social care, as this will show your enthusiasm and expertise.
✨Showcase Your Research Skills
Prepare to talk about your previous research experiences. Highlight any projects where you've analysed data or developed digital tools. Bring examples of scientific papers you've written or contributed to, as this will demonstrate your strong research track record.
✨Team Player Vibes
Since the role involves working in a research team, be ready to discuss how you collaborate with others. Share examples of successful teamwork and how you contribute to group dynamics, as this will show you're a good fit for their collaborative environment.
✨Ask Smart Questions
Prepare thoughtful questions about the collaboration with SWYT and the THIRDWAVE project. This not only shows your interest but also gives you insight into what your role would entail. It’s a great way to engage with the interviewers and leave a lasting impression.
