Location: | Nottingham |
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Salary: | £31,387 to £46,485 per annum, depending on skills and experience (minimum £34866 with relevant PhD). Salary progression beyond this scale is subject to performance. |
Hours: | Full Time |
Contract Type: | Fixed-Term/Contract |
Placed On: | 21st February 2025 |
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Closes: | 11th April 2025 |
Job Ref: | SCI82125 |
You, the successful applicant, will contribute toward interdisciplinary research on advancing our understanding of human-and AI-based decision-making. Specifically, you will be working on the estimation of parameters for newly developed models which decompose the drivers underlying decision-making. The work has a strong focus on developing better-explainable AI on the computer science side, while building (on) advances in cognitive science and psychology on the other.
You will be part of an international research project between the University of Nottingham in the UK and Purdue University in the US. As a member of the research team, you will be based within the LUCID research group at the University of Nottingham’s Jubilee Campus, with opportunities for travel, including to the partner institution.
You will have expertise in areas such as optimisation, parameter estimation and model-fitting and strong programming skills. You will be keen to innovate and excited to learn more about areas which you may not yet be familiar with, including from other disciplines, integrating insights into your research and associated publications. A prior background in interdisciplinary research would be desirable but is not essential. Your key activities will be to co-design experiments to parameterise and analyse aggregation models with the research team, lead the software implementation and execution of these experiments and work with the research team in the writing-up and dissemination of research outputs, including their presentations at conferences as appropriate.
You will be mentored throughout the duration of the role and the research team will support you in developing your research career.
What we offer
Further information is available in the role profile. To apply for this vacancy please click ‘Apply’ now to complete your details.
Informal enquiries may be addressed to Prof. Christian Wagner at Christian.wagner@nottingham.ac.uk. Please note that applications sent directly to this email address will not be accepted.
For more details and/or to apply on-line please click here. If you are unable to apply on-line please contact the Human Resources Department, tel. 0115 9515206 please quote ref. SCI82125
Further details:
We offer a range of benefits, visit Your Benefits website to learn what we can offer you.
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Your application will be considered on an equal basis, subject to the relevant permission to work in the UK as set out by UK Visas & Immigration.
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