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PhD student – Developing Artificial Intelligence methods for infectious disease outbreaks and pandemics 

Supervisor: Dr Leon Danon, School of Engineering Maths and Technology, University of Bristol

Description

We are looking to recruit 2 PhD students to contribute to tthe Pandemic Resliience research theme of the AI4CI Hub. This is open to home and international students and will include tuition fees and a tax-free stipend.

An essential part of analysis of emerging infectious disease threats is to make sense of a large stream of data from many disparate sources and make robust estimates of key disease parameters such as the reproduction number. During the COVID-19 pandemic, data was rapidly collected, collated, analysed and modelled to support central government decisions and inform the public. This work was done largely through a huge collective effort by experts, scientists and public health officials, yet AI played a modest role. Now, as AI tools mature, there is a need to develop novel AI, tailored to infectious disease to speed up the generation of key evidence.

The successful candidates will have an interest in interdisciplinary work at the interface between infectious disease epidemiology and AI and will join a large network of collaborators through JUNIPER, the United Kingdom Health Security Agency and policy links. They will develop cutting-edge technology to enable robust and reproducible analyses, tested on a large body of historical infectious disease data including (but not limited to) COVID-19.

Full details and how to apply

Deadline: 6 March 2025

PhD student – Novel research contributions to Human-Computer Interaction in the context of AI and care, University of Bristol

Supervisor: Dr Aisling O’Kane, School of Computer Science, University of Bristol

Description

We are looking to recruit a PhD student at the intersection of care, human-computer interaction (HCI) and AI. This is open to home and international students and will include tuition fees and a tax-free stipend. The successful candidate will be part of the Bristol Interaction Group, and join the Artificial Intelligence for Collective Intelligence UKRI AI Hub.

We are looking for research proposals from students who are interested in making novel research contributions to HCI in the context of AI and care. Some examples of topic areas include, but are not limited to the following:

• Supporting end of life decision making through AI, supported by data from NHS and social care
• Patient generated AI and primary care
• Technology enabled social care and consumer AI technologies
• Informal care support through AI enabled technologies
• AI-enabled parenting

Full details and how to apply

Deadline: 26 February 2025