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.
The School of immunology & Microbial Sciences 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.
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 purpose of this role is to lead the development and application of advanced artificial intelligence, data-driven modelling approaches and to understand, predict and help control the emergence and spread of diarrhoeal diseases and antimicrobial resistance. The postholder will play a central technical and scientific role in the development of a DSS by integrating large-scale genomic, clinical, health records, biological, climate and environmental from EU and African partners.
The post-holder will be responsible for developing methods for aggregation/fusion of heterogeneous data for machine learning, deep learning and reinforcement learning; to developing AI methods for data mining, classification, regression and forecasting, in particular starting from heterogeneous data; to developing AI methods for sequential data analysis, in particular using: recurrent NNs, LSTM, seq2seq, transformers; to developing spatio-temporal statistics/modelling starting from heterogenous data, in particular using: Bayesian hierarchical models, autoregressive models, random fields; to developing generative AI approaches, in particular for the generation of synthetic, heterogeneous data; to developing Explainable AI methods and frameworks and to developing causal AI methods.
This is a full-time post 35 Hours a week, and you will be offered a fixed term contract until the 30 Apr 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.
