Research Fellow AI and LLM

The full-time starting salary is normally £42,860.00 per annum, with progression available in post to £46,586.00 per annum.

Grade: UL

Full-time, 12 month fixed term role.

From 1 August 2025, the salary range for this role is £44,131 - £51,182. 

On 1 August 2025 Birmingham City University will migrate to a new pay structure, at which time the post holder’s salary will be adjusted to the corresponding point on the new grade.

Located in a modern £300M campus in the heart of Birmingham City Centre, England, the School of Computing and Digital Technology is a thriving, vibrant, and inspiring learning community committed to excellence in research, high quality teaching and impactful industrial engagement. Building on continuous success in student growth and in sustained advancement of research activities, the school has embarked on a programme of extensive expansion funded by substantial long-term investments. Our growing teams are teaching, exploring and practising in some of the most exciting areas in the field of computing and the processing of digital media.

We invite applications for the position of Research Fellow in AI and LLM to work on exciting real-world challenges supporting next generation healthcare solutions. Based in the College of Computing, the ideal candidate will have strong skills and expertise in applying core data science and artificial intelligence concepts and tools to solve complex problems. Candidates will also be developing machine learning techniques and applying them at scale to specific projects with regular interaction with customers.  In addition to core expertise in data, AI and LLM, we welcome candidates with strong interest in cross-disciplinary research in urban computing, healthcare, or transportation networks. Experience of working in collaboration with customers/users to deliver bespoke technological solutions will be advantageous.

Our school offers a highly stimulating environment for career development and progression, and you will be exposed to a range of training and career development opportunities over the course of this post.

Applicants must be qualified to a PhD level and have evidence of strong research experience in their own technical areas. In addition, applicants will need to be able to demonstrate their ability to critically engage with a range of complex systems; engage in conceptual thinking and brainstorming activities; meet deadlines and work within interdisciplinary teams of researchers and academics.

You will have:

• Proven experience in core tools of data science and analytics including in programming languages such as R and Python.
• Excellent publication record in peer-reviewed journals or conferences
• Experience of working in multidisciplinary projects including interaction with end users
• Proficient in programming or scripting languages, including Python, C++ and Java Script
• Ability to work independently on multiple streams of research and collaboratively across multi-disciplines
• Possess strong skills in analytical and quantitative research in the focus areas 
• Excellent communication skills and a collaborative attitude
• Ability to adhere to deadlines, achieve and deliver important project milestones 

It would be desirable if you have the ambition and ability to learn rapidly and to adapt to new areas of research beyond your current skills and expertise, proven track record of attracting funding from variety of sources with substantial experience of developing research proposals to external funding bodies, prior working experience within funded research projects, relevant industrial experience, established relationships with UK and International collaborations and ability to communicate projects/concepts to a range of audiences.

This is a highly exciting and rewarding role within a research area of high academic and industrial interest for applicants looking to develop their research career. Further details of responsibilities are available in the job description.

FACULTY OF COMPUTING, ENGINEERING AND THE BUILT ENVIRONMENT

In the Faculty of Computing, Engineering and the Built Environment (CEBE), we work to apply abstract intelligence to make a better, safer, smarter society. We have a strong emphasis on STEAM, with some of our teaching taking place in our award-winning new STEAMhouse building, where disciplines combine to solve real-world problems. 

Our experts across the Faculty work not only with one another but across a wide range of disciplines, to solve real-world problems, and encourage and foster this spirit of Innovation in our students.  Together, they are able to respond dynamically to the multiple modern technological challenges posed by fast-paced industries.

Across the Faculty, we integrate teaching with research, innovation and enterprise. We work closely with our industry partners to ensure that we are developing skills in our graduates that equips them for emerging careers and the future of work. We are fully committed to practice-driven experimental and flipped learning – harnessing the strength of employer relationships for the benefit of our students – who then go on to make a significant impact on society through their ideas, their work and their expertise.

Please click the below link to download the Job Description:

Job Description – Research Fellow

Please download additional Guidance for Applicants:

Guidance for Applicants

At the heart of our Strategy for 2030 and Beyond, it is our mission to enable our students to transform their lives and to achieve their potential. Through our education and research, and the roles our graduates go on to play in the world, we not only support individuals to transform their lives, but we also play a part in transforming society.

Located in the centre of the UK’s second city, we are a university with a long heritage of innovation and of making, dating back to our origins in 1843 when we were founded as the Birmingham Government School of Design.

Our heritage of making through innovation and its application through knowledge exchange, and of creative research and practice, today finds it expression in our STEAM agenda, in our research and enterprise, and in our commitment to challenge-based learning. Working across disciplines, and delivering impactful research and enterprise, interdisciplinarity is at the heart of the continuing transformation of our academic portfolio.