What are the responsibilities and job description for the Research Associate / Senior Research Associate in AI for Finance position at University of Bristol - School of Physiology, Pharmacology and Neuroscience?
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 stability in financial markets and investments. The role is based at University of Bristol, School of Engineering Mathematics and Technology, and will involve close collaboration with researchers at Bristol and Cardiff, as well as non-academic stakeholder partners in the financial sector.
What will you be doing?
The primary focus of this post is to develop AI and machine learning applications 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 non-academic stakeholders.
You should apply if
For informal queries please contact: Prof John Cartlidge, john.cartlidge@bristol.ac.uk
About
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://engineering.blogs.bristol.ac.uk/category/engineering-includes-me/
Contract type: Open ended with fixed funding for 2 years
Work pattern: Full time (part time will be considered, minimum of 0.5 FTE required)
Grade: I / J
The grade of the role offered will be determined based on the skills, qualifications, and experience you bring to the position.
Salary: Grade I £39,906 - £44,746 per annum; Grade J £43,482 - £50,253 per annum
School/Unit: Engineering Mathematics and Technology
This advert will close at 23:59 UK time on Sunday 21st September.
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.
Available documents
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 stability in financial markets and investments. The role is based at University of Bristol, School of Engineering Mathematics and Technology, and will involve close collaboration with researchers at Bristol and Cardiff, as well as non-academic stakeholder partners in the financial sector.
What will you be doing?
The primary focus of this post is to develop AI and machine learning applications 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 non-academic stakeholders.
You should apply if
- You have demonstrable expertise in AI / machine learning / deep learning theory and applications
- You are interested in finance and financial systems.
- You can demonstrate high level analytical capability.
- You can work effectively in interdisciplinary research settings.
- You are able to collaborate effectively with non-academic stakeholder partners
For informal queries please contact: Prof John Cartlidge, john.cartlidge@bristol.ac.uk
About
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://engineering.blogs.bristol.ac.uk/category/engineering-includes-me/
Contract type: Open ended with fixed funding for 2 years
Work pattern: Full time (part time will be considered, minimum of 0.5 FTE required)
Grade: I / J
The grade of the role offered will be determined based on the skills, qualifications, and experience you bring to the position.
Salary: Grade I £39,906 - £44,746 per annum; Grade J £43,482 - £50,253 per annum
School/Unit: Engineering Mathematics and Technology
This advert will close at 23:59 UK time on Sunday 21st September.
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.
Available documents
- ACAD108264 - AI for Finance - JD.pdf
- Faculty of Science & Engineering Further Particulars 2024-25.pdf
Salary : $39,906 - $50,253
