Research Associate/Senior Research Associate in AI for Collective Intelligence

Job title:

Research Associate/Senior Research Associate in AI for Collective Intelligence

Company

University of Bristol

Job description

Contract type: Open endedWork hours: 35.0 hours per weekWeeks per year-weeks per year: 52.00The roleThis 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 ( ). The AI4CI Hub is a collaboration between a consortium of seven partner universities (Bath, Bristol, Cardiff, Exeter, Glasgow, UCL and Ulster). The Hub’s ambition is to pursue cutting edge research at the intersection between the fields of 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 within each application domain and cross-cutting theme will be pursued by a team of academics, postdocs and PhDs working with academic and non-academic 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 of this post is to develop new AI approaches to Pandemic Resilience as part of the hub. The potential for AI to support our response to emerging epidemic and pandemic threats is underdeveloped and the post holder will be at the forefront of innovation in this emerging field. The successful candidates will have the opportunity to 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 Research 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.

You should apply if

• You have the ability to understand AI/machine learning/data science concepts.
• You are interested in infectious disease epidemiology.
• You have experience with epidemiological data and infectious disease.
• You have experience with AI/machine learning/data science methods.
• You are able to work effectively in interdisciplinary research settings

Additional informationFor informal queries please contact Dr. Leon Danon,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:Interviews are anticipated to be held on between 9th and 11th July 2024.Our strategy and missionWe recently launched our to 2030 tying together our mission, vision and values.The University of Bristol aims to be a place where everyone feels able to be themselves and do their best in an inclusive working environment where all colleagues can thrive and reach their full potential. We want to attract, develop, and retain individuals with different experiences, backgrounds and perspectives – particularly people of colour, LGBT+ and disabled people – because diversity of people and ideas remains integral to our excellence as a global civic institution.Grade I £37,099 – £41,732 per annum; Grade J £41,732 – £46,974 per annum

Expected salary

Location

Bristol Area

Job date

Thu, 06 Jun 2024 04:28:37 GMT

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