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Research Associate
2 months ago
The role
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) to conduct research in AI and machine learning for ensuring financial stability in markets and investment. 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 AI and machine learning to support and encourage financial stability from the level of the individual trader to national and trans-national markets. The research will leverage a combination of non-traditional sources of data (e.g., social media, news media) and traditional data from financial markets (prices, volumes, etc.) to provide regulators with early warning signals of bubbles/crashes and to protect investors from pathological investment behaviour. The project will involve collaborating with a range of FinTech stakeholders including providers of MiFID reporting data, retail investment data and access to synthetic datasets used by the FCA to stress test investment strategies.
You should apply if
- You are interested in finance and financial systems.
- You have expertise in AI / machine learning theory and applications, ideally related to finance.
- You are fluent in relevant models, techniques and methods.
- You can demonstrate high level analytical capability.
- You have the ability to work effectively in interdisciplinary research settings.
- You are able to collaborate effectively with non-academic stakeholder partners.
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:
Contract type: Open ended with fixed funding for 2.5 years
This advert will close at 23:59 UK time on 28/07/2024
Interviews are anticipated to take place on the week commencing the 19th August
For informal queries please contact Dr John Cartlidge,
Our strategy and mission
We recently launched our strategy 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.
£37,099 to £46,974. Grade: I or J
