AI Research Associate — Infectious Diseases & Microbiome

King's College London; Greater London; On-site; GBP 45,000 - 47,000; Full time

Job summary

King's College London is seeking a Research Associate in AI within the Department of Infectious Diseases. You will develop and apply advanced AI/ML methods to tackle microbiology and immunology questions, leveraging heterogeneous datasets and state-of-the-art models.

The role offers a fixed-term contract through 2028, with professional development opportunities and a strong research environment in London. PhD-level expertise is required, with consideration for candidates near completion.

Qualifications

• PhD (or close to completion) in Computer Science, AI, Statistics, or a closely related field.
• Expertise in machine learning and deep learning.
• Experience with generative and agentic AI methods.
• Strong analytical skills and ability to work with heterogeneous data sources.

Responsibilities

• Develop and apply AI/ML methods to address complex research questions.
• Use generative AI, agentic AI, and adaptive systems to improve model performance.
• Mine, classify, and forecast from heterogeneous data sources.
• Apply spatial-temporal statistics and Bayesian models to real data.
• Work with sequence models and transformer architectures.
• Explore explainable and causal AI approaches to interpret results.
• Conduct research in AI methods for infectious disease contexts.

Skills

Machine learning

Generative AI

Agentic AI

Explainable AI

Causal AI

Time-series modelling

Spatial-temporal modelling

Data mining & forecasting

Transformer architectures

Education

PhD or near completion in Computer Science / AI / Statistics

Job description

King's College London is seeking a Research Associate in AI within the Department of Infectious Diseases. You will develop and apply advanced AI/ML methods to tackle microbiology and immunology questions, leveraging heterogeneous datasets and state-of-the-art models.

The role offers a fixed-term contract through 2028, with professional development opportunities and a strong research environment in London. PhD-level expertise is required, with consideration for candidates near completion.