Emerging Scholars Council
Post Doctoral Research Fellow in Artificial Intelligence

How your CV stacks up
Upload your CV to see how well it fits this job role
?%
This site uses cookies to store information on your computer.
Some of these cookies are essential, while others help us to improve your experience by providing insights into how the site is being used. For more detailed information about the cookies we use, please see our Cookie policy.
Necessary Cookies
Necessary cookies enable core functionality such as page navigation and access to secure areas. The website cannot function properly without these cookies, and can only be disabled by changing your browser preferences.
Functional Cookies
These help us to personalise the website to you by remembering your preferences and settings.
functionalOnOff
Marketing Cookies
Marketing cookies help us provide personalised and relevant services or advertising to our website visitors, and to assess the effectiveness of our marketing campaigns.
marketingOnOff
Analytics Cookies
Analytical cookies help us to improve our website by collecting and reporting information on its usage.
analyticsOnOff
About This Tool (Opens In a New Window)
Skip to main content
- Find a Job
- Find PhDs
- Career Advice
- Jobs by Email
- Advertise a Job
- Recruiters
Back to search results
Post Doctoral Research Fellow in Artificial Intelligence
Leeds Beckett University - School of Built Environment, Engineering and Computing
-
Location: Leeds
-
Salary: £39,906 to £44,746
-
Hours: Full Time
-
Contract Type: Fixed-Term/Contract
-
Placed On: 23rd June 2026
-
Closes: 21st July 2026
-
Job Ref: REQ0002118
Full-time, Fixed term (36 months)
This is an exciting opportunity to join the School of Built Environment, Engineering and Computing at Leeds Beckett University as a Research Fellow in Artificial Intelligence.
We are seeking an ambitious and research active individual to support the school’s growing cross disciplinary research activities in Artificial Intelligence and digital technologies. The school has established significant expertise and a strong track record in AI related research, including externally funded projects, interdisciplinary collaborations, and impactful research addressing major societal and industrial challenges across areas such as health, digital systems, business, environment, and intelligent technologies.
Current activities include collaborative research with healthcare providers on the use of AI and digital technologies to support service transformation, participation in nationally and internationally funded research projects, and the development of innovative approaches in areas such as machine learning, neurosymbolic AI, intelligent systems, and data driven technologies.
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
Start with a chat, not a search bar
Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
See breakdownIt searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
The successful candidate will contribute to the further development of this research area through high quality publications, collaborative funding applications, interdisciplinary research activities, and engagement with academic and external stakeholders.
We are particularly interested in candidates with expertise in areas such as:
- Artificial Intelligence
- Machine Learning
- Large Language Models
- Neurosymbolic AI
- Intelligent Systems
- Applied AI
- Knowledge Representation and Reasoning
- Digital Technologies and Computational Methods
You Should Possess
- A completed PhD in Artificial Intelligence, Computer Science, Data Science, or a related discipline.
- Strong research expertise in AI and digital technologies.
- A strong publication profile in internationally recognised journals and conferences.
- Experience contributing to collaborative research and funding applications.
- The ability to work effectively within interdisciplinary research environments.
Particular interest will be given to candidates with evidence of high-quality research outputs and emerging research leadership within AI related research domains.
You will join a vibrant and supportive research environment with strong interdisciplinary collaborations and opportunities to contribute to innovative and impactful AI research addressing real world challenges.
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 and digital technologies. For informal enquiries about this post please contact Professor Grigoris Antoniou at g.antoniou@leedsbeckett.ac.uk or Professor Saheed Ajayi at S.Ajayi@leedsbeckett.ac.uk
Closing date: Tuesday 21st July 2026 (23:59)
For more information and to apply please visit: https://tinyurl.com/wfbyszbj
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.


Get help with your application
Your very own career expert that helps elevate your application to the next level.
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.
Leeds Beckett University is a Disability Confident Employer. Disabled candidates who demonstrate all essential criteria within the Person Specification will be invited to an interview.
We value your feedback on the quality of our adverts. If you have a comment to make about the overall quality of this advert, or its categorisation then please send us your feedback
Advert information
- Type / Role
- Subject Area(s):
- Location(s):
Job tools
-
× Max Saved Jobs Reached
A maximum of 500 Saved Jobs can be created against your account. Please remove an existing Saved Job in order to add a new Saved Job.
-
Please sign in or register for an account to save a job.
More jobs from Leeds Beckett University
- Alumni, Scholarship and Donor Engagement Officer
- Board Member & Member of the Academic Assurance Committee
- Learning Support Specialist - Performing Arts
- Head of External Reporting & Data Quality
Show all jobs for this employer...
More jobs like this
- Director
- Assistant Professor/Lecturer in Computer Science (Temporary until the 2nd January 2031)
- Postdoctoral Research Associate
- Research fellow in Digital Twinning for Crisis and Resilience in Transportation
- Reader in Quantum Computing
Join in and follow us
Copyright © jobs.ac.uk 1998 - 2026
Find a Job
Find PhDs
Career Advice
Jobs by Email
Advertise a Job
About Us
Contact Us
Terms of use
Privacy Policy
Cookie Policy
Accessibility Statement
Copyright © jobs.ac.uk 1998 - 2026
Browser Upgrade Recommended
jobs.ac.uk has been optimised for the latest browsers.
For the best user experience, we recommend viewing jobs.ac.uk on one of the following:
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
Skills
Location