Research Associate in AI - Strand, London, WC2R 2LS

Research Associate in AI - Strand, London, WC2R 2LS

About Us

Kings 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, within the School of Immunology & Microbial Science 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 postholder will be responsible for developing and applying AI methods across the following areas, demonstrated through scientific publications or other academic/industrial achievements:

• Generative AI (text and numerical data; excluding image, audio, video generation)
• Agentic AI, orchestration, and adaptive systems (continuous feedback, dynamic reasoning, self-optimisation)
• AI methods for mining, classifying, and forecasting from heterogeneous data sources
• Spatial-temporal statistics/modelling from heterogeneous data (Bayesian hierarchical models, autoregressive models, random fields)
• Sequence/time-series modelling and language models, particularly transformer architectures
• Explainable AI methods
• Causal AI methods

This is a full-time post 35 Hours a week, and you will be offered a fixed term contract for 30 months.

Research staff at Kings 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.