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Artificial intelligence and machine learning methods for model discovery in the social sciences

   Department of Automatic Control and Systems Engineering

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  Prof Robin Purshouse  Applications accepted all year round  Self-Funded PhD Students Only

About the Project

Many theories have been proposed for how problematic social phenomena - such as segregation, inequality, and clustering of unhealthy behaviours - emerge and change over time. But which theories are useful for understanding these phenomena and devising effective interventions to change them? This project will develop computationally efficient model discovery methods to enable a search for explanatory multi-level agent-based models that can be calibrated to - and validated against - such empirical phenomena.

Funding Notes

This is a self-funded research project.
We require applicants to have either an undergraduate honours degree (1st) or MSc (Merit or Distinction) in a relevant science or engineering subject from a reputable institution.
Full details of how to apply can be found at the following link:
Applicants can apply for a Scholarship from the University of Sheffield but should note that competition for these Scholarships is highly competitive:
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