The Supply Chain AI Lab at the Institute for Manufacturing, University of Cambridge, is seeking a PhD student to work in the area of "Reconstructing supply chains with AI".
This project aims to map, model, and explore systemic risk and monopolisation in service supply chains. We have never attempted modelling certain types of service supply networks from data before. Service supply chains exhibit dependencies coupled over firms, countries, and digital threads which are largely untraceable. Therefore, we ask: can they be predicted? In certain service industries, firm-level dependencies are highly concentrated in terms of the number of users, resulting in systemic risk. The project will use very large-scale data to predict dependencies in a number of service sectors. Once dependencies are predicted, the project will then use network scientific methods to model risk and centralisation, offering evidence and guidance to policymakers for regulatory options such as horizontal decentralisation.
Minimum Requirements:
1. Applicants should have (or expect to obtain by the start date) at least a good 2.1 degree in Computer Science, Engineering, or a related subject.
The University actively supports equality, diversity, and inclusion and encourages applications from all sections of society.
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