Overview
Research Associate in AI – Strand, London, WC2R 2LS
About Us
King’s College London is a world leading research-intensive university with a strong international profile and a long-standing commitment to addressing major societal and global challenges. This role is based within the Faculty of Life Sciences & Medicine, in the Department of Infectious Diseases, which brings together expertise across microbiology, immunology, clinical sciences, data science and artificial intelligence. The Department offers a highly interdisciplinary and collaborative environment, with strong links to clinical partners and access to outstanding research infrastructure and cross faculty initiatives .
About the role
This is an exciting €4.8M project Supported by the Global Health EDCTP3 and EU Horizon. The CARE-AFRICA project is developing an innovative AI-based tool to guide diagnostics and treatment of diarrhoeal diseases in children under 5 in sub-Saharan Africa, using a combination of local and globally sourced data.
Diarrhoeal diseases remain a common cause of ill-health and death in sub-Saharan Africa, particularly among children. In addition to their immediate health impacts, diarrhoeal diseases have multiple long-term consequences, affecting growth, development, schooling and economic prospects in adulthood.
The CARE-AFRICA project is developing and evaluating an AI-based tool to guide clinical decision-making, based on analysis of patient data entered by a clinician and automated retrieval of regional and national data on other factors likely to affect the risk of diarrhoeal diseases, such as environmental, climate, socioeconomic and demographic data. The tool is designed to integrate these data sources and provide a clinician with a likely diagnosis and a recommended treatment. The candidate will work in proximity with international partners in Uganda, Ethiopia, South Africa, Italy and Spain.
The post-holder is expected to have advanced skills in deep learning, predictive AI and generative AI. Experience in the development of transformer-based architectures and/or world models is also welcomed.
The purpose of this role is to lead the development of data mining, modelling and forecasting technologies operating with heterogeneous data, including genomics, clinical/health records, biological, climate and environmental DATA from EU and African partners with the ultimate purpose of developing a decision support system for use by healthcare workers in diagnostics and therapy selection.
This is a full-time post 35 Hours a week, and you will be offered a fixed term contract until 30th April 2029.
Research staff at King’s are entitled to at least 10 days per year (pro-rata) for professional development. This entitlement, from the Concordat to Support the Career Development of Researchers, applies to Postdocs, Research Assistants, Research and Teaching Technicians, Teaching Fellows and AEP equivalent up to and including grade 7. Visit the Centre for Research Staff Development for more information.
IMPORTANT: Before applying for this role, please make sure you have the right to work in the country where the role is based. Unless it clearly stipulates within in the job advert above that the hiring company is looking to or able to sponsor applicants it is deemed that the hiring employer will only consider applications from those able to comply with and work in the country where the role is based.
