About the Project
This research project explores solutions to define, characterise, evaluate and test AI algorithms, building on our current expertise in machine learning, explainable AI, data and model governance and their applications. Quantitative and qualitative measures will encompass Explainability, Efficiency, Efficacy, Confidence and Trust in data and machine learning resources among other concepts. The project also explores their validation through a number of case studies for health and social care with a focus on pandemic (e.g. Post-COVID) era. These will help understanding and developing valuable personalised AI systems for the benefit of personal users and wider communities.
As a PhD student you will join our dynamic and motivated Artificial Intelligence Research (AIRe) Group comprising PhD and taught students and interns, postdoctoral researchers, academic staff. The multidisciplinary research theme will involve experts in AI and Machine Learning, Big Data Science and Technology, Mathematics, Statistics, Psychology, Health and Social Care, Bioinformatics, Economics to assess data and models resources.
You will have the opportunity to present your work at conferences and research events; publish contributions in scientific journals; participate in academic and industry activities. The University of Bradford is offering a comprehensive doctoral training environment.
Why not add a message here
Based on your current searches we recommend the following search filters.
Based on your current search criteria we thought you might be interested in these.