We are looking to hire two outstanding researchers in the overlapping fields of Complexity Economics and Computational Social Sciences with significant expertise in agent-computing modelling to join a multidisciplinary team of data scientists and expert modellers as part of an exciting project on shocks and resilience. The aim of these roles is to develop data-rich and theoretically grounded models on the economic and societal impacts of the Covid-19 pandemic as well as other types of shocks. The first postdoc will concentrate on labour market dynamics, with an emphasis on pandemic scenarios. They will work closely with an expert in epidemiological modelling. The second postdoc will investigate broader classes of shocks and their impact in various socioeconomic dimensions, for example, in financial markets, across supply chains, on the housing market, on educational outcomes, or on income inequality. Both post-holders will have experience in sourcing different types of large-scale datasets (this may include non-structured ones), pre-processing, analysing, and in coupling them with highly disaggregated computational models through adequate parameter estimation methods. Both postdocs will also engage with government stakeholders, so having some experience regarding the viability and limitations of policy interventions is ideal.

For further inquiries contact: Dr. Omar Guerrero (oguerrero@turing.ac.uk) or Dr. Cosmina Dorobantu (cdorobantu@turing.ac.uk).