King's College London is offering a fully research-focused PhD opportunity in Computational Immunology and Digital Health, supervised by Associate Professor Hector Zenil and Adelaide De Vecchi. The project is situated at the intersection of machine learning, network science, and digital twins for healthcare, within the world-leading School of Biomedical Engineering & Imaging Sciences and the King’s Institute for Artificial Intelligence. The research will be conducted in the Algorithmic Dynamics Lab, also associated with The Francis Crick Institute. The PhD project, titled 'Algorithmic Disease Network Intervention Pipeline Using Immune Digital Blood Twins,' aims to develop a general, interpretable computational pipeline to model and influence the evolution of immune and haematological systems. By leveraging longitudinal immune data such as blood counts, symptoms, and lifestyle signals, the project will construct Immune Digital Blood Twins—dynamic models that capture transitions from immune homeostasis to early dysregulation and disease. The research combines causal inference, machine learning, deep learning, dynamical systems, and Algorithmic Information Dynamics to build disease networks from causal-temporal immune biomarkers, moving beyond black-box prediction models. The project will explore algorithmic and causal interventions to simulate clinical or lifestyle actions, studying how these may redirect disease trajectories toward healthier states. The outcome will be a versatile methodological framework advancing computational immunology, with future applications in early disease detection, personalized health monitoring, and immune system modeling. Applicants should have a strong background in Computer Science, Mathematics, Engineering, Physics, Computational Biology, or related fields. Experience with machine learning, networks, dynamical systems, or statistical modelling is desirable. Python programming is essential, and experience with deep learning and healthcare data analytics is a plus. The position is based in London, offering an exceptional academic environment next to the British Parliament. Interested candidates should contact Hector Zenil directly via LinkedIn or email [email protected]. For more information, visit the DT4Health project page and the Algorithmic Dynamics Lab website.