Research Fellow - Data And Artificial Intelligence

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 Data and AI 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 and AI, we welcome candidates with strong interest in cross-disciplinary research in urban computing, med-tech, smart city or transportation networks. Experience of working in collaboration with customers/users to deliver bespoke technological solutions will be advantageous.

Applicants must be qualified to a PhD level or equivalent 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 brain storming activities; meet deadlines and work within interdisciplinary teams of researchers and academics. You will need to have proven experience in core data science and analytics tools including programming languages such as R, Python, C++ and JavaScript. Prior working experience within funded research projects, a track record of attracting funding from a variety of sources and experience in developing research proposals to external funding bodies would be beneficial.

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.