Research Associate / Senior Research Associate in Pandemic Resilience

Salary

Grade I, £37,099 – £41,732 per annum;

Grade J, £41,732 - £46,974 per annum.

The role

The COVID-19 pandemic was the first time distributed information technology was available to inform society’s response. The opportunity for use of smart decision support in a pandemic setting emerged over the course of the outbreak, but was limited by immaturity, a lack of standards and privacy concerns.

This is an exciting opportunity for a skilled, motivated and talented postdoctoral researcher to join the UKRI National AI Research Hub in AI for Collective Intelligence (AI4CI). The AI4CI Hub is a consortium of seven partner universities with an ambition to pursue cutting edge research at the intersection between applied AI and Collective Intelligence across five application domains (Pandemic Resilience, Smart cities, Financial Stability, Health Ecosystems and Environmental Intelligence) and two cross-cutting themes (Human-Centred Design and Infrastructure and Governance).

Research will be pursued by a team of academics, postdocs and PhDs working with stakeholder partners from relevant sectors: from AI software companies and start-ups to FinTech firms, NHS trusts, city modelling labs and local and national government departments and agencies.

What will you be doing?

The primary focus is to develop new AI approaches to Pandemic. The potential for AI to support our response to emerging epidemic and pandemic threats is underdeveloped and you will be at the forefront of innovation in this emerging field. The successful candidate will work with a range of policy-facing scientists within the JUNIPER consortium (maths.org/juniper), stakeholders including UKHSA, central and local government and pharmaceutical industry leaders. Specific responsibilities include:

• Contributing to relevant research case studies within the AI4CI Hub.
• Developing data pipelines, machine learning models, and smart agents in simulated and real environments to develop and test hypotheses around the application of AI in developing resilience to pandemics.
• Analysing historical real world observational data to identify where use of AI could play a role in resilience to pandemics
• Developing visualisation and communication tools that are policy/stakeholder facing.
• Setting your own research objectives within the scope of AI4CI. 

You should apply if

• Experience of applied modelling to inform the response to an infectious disease outbreak.
• Understanding of strategically important issues in the response to an outbreak, both in terms of public health policy and drivers of individual behaviour.
• Experience with epidemiological data in infectious diseases, including understanding of issues with quality, timeliness, and privacy.
• Ability to understand AI/machine learning/data science concepts.
• Experience with AI/machine learning/data science methods.
• Able to work effectively in interdisciplinary research settings
• You enjoy setting your own research objectives and tracking your own projects to completion.

Additional information

To find out more about what it's like to work in the Faculty of Engineering, and how the Faculty supports people to achieve their potential, please see our staff blog:

https://engineeringincludesme.blogs.bristol.ac.uk/

For informal queries please contact Dr Leon Danon, l.danon@bristol.ac.uk

Interviews are anticipated to tale place on the week commencing 14/10/24 

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