Join King’s College London as a Research Associate in AI for Global Child Health | Apply by June 2026 @Unknown

King’s College London Job Summary

Job Title: Research Associate in AI
Location: Department of Infectious Diseases, King’s College London
Closing Date: 3 June 2026
Contract: Fixed-term until 30 April 2029 (Full-time, 35 hours/week)

Job Summary

King’s College London has The CARE-AFRICA project, funded by Global Health EDCTP3 and the EU Horizon, seeks a Research Associate in AI to develop an AI-based decision support tool for diagnosing and treating diarrhoeal diseases in children under 5 in sub-Saharan Africa.

The role involves building data mining, modeling, and forecasting technologies using heterogeneous data sources such as genomics, clinical records, environmental, climate, socioeconomic, and demographic data from EU and African partners.

The project aims to support healthcare workers by providing accurate diagnoses and treatment recommendations through an innovative AI system.

About King’s College London

King’s College London is a leading research-intensive university with an international reputation.

The role is based within the Faculty of Life Sciences & Medicine, in the Department of Infectious Diseases, which fosters interdisciplinary collaboration across microbiology, immunology, clinical sciences, data science, and artificial intelligence.

The department boasts outstanding research infrastructure and partnerships, offering a dynamic environment for innovative research.

About the Role

This is an exciting opportunity to contribute to a €4.8M project focused on improving child health outcomes in sub-Saharan Africa through AI.

The successful candidate will work closely with international partners in Uganda, Ethiopia, South Africa, Italy, and Spain to develop an AI-driven clinical decision support system.

The focus is on leveraging deep learning, predictive AI, and generative AI, including transformer-based architectures and world models, to analyze complex biomedical, genomic, environmental, and clinical data.

Key Responsibilities

• Lead development of data mining, modeling, and forecasting technologies using heterogeneous datasets
• Develop AI models for diagnostics and treatment guidance in infectious diseases
• Collaborate with international partners to integrate diverse data sources
• Contribute to the design and development of clinical decision support tools
• Ensure adherence to data governance, privacy, and ethical AI principles

Essential Criteria

• PhD in relevant subject area (or submission pending)
• Expertise in machine learning, deep learning, and generative AI methods
• Proven experience applying AI/ML to biomedical datasets, including genomics and clinical records

• Strong skills in high-performance Linux computing environments and cloud platforms
• Programming proficiency in Python, Matlab, R, or equivalent
• Experience developing clinical decision support tools
• Knowledge of data governance, privacy, and ethical AI principles

Desirable Criteria

• Knowledge of antimicrobial resistance and infectious disease mechanisms
• Understanding of infection dynamics, especially bacterial infections
• Publications in leading ML or biomedical research venues

Salary and Benefits

• Salary: £45,031 – £49,871 per annum, including London Weighting Allowance
• Professional development opportunities (minimum 10 days/year)
• Supportive, collaborative research environment

How to Apply

Candidates are invited to submit their CV and a supporting statement demonstrating how they meet the essential criteria. Early application is encouraged, as the vacancy may close early due to high demand.

Application Link:

Contact

Tania Dottorini
Email: Tania.dottorini@kcl.ac.uk