chain.
A supply chain is modeled as a network whose vertices are firms and whose
edges represent their interactions. The network evolves dynamically, and
may be affected by sudden disruptions. Many of the existing supply-chain
models are static and, when dealing with disruptions, compare pre- and
post-shock equilibria. In real life, the effects of disruption take time to
spread across the network. Understanding this temporal element is
fundamental for taking mitigating actions. The main goal of this project is
to study dynamic models of supply-chain disruption. The formal analysis of
this phenomenon will use tools from network theory, probability theory,
game theory, operations management, optimization, dynamical systems,
machine learning, data science. We are looking for a candidate who has a
strong expertise in at least one of the above fields.
Title of the project:
A dynamic analysis of supply-chain networks and their disruption
Length of the position: 36 months
Gross annual salary: € 36.480,57
Application deadline: 2024/05/03, 14:00 Central European Summer Time (CEST)
The call for this postdoc can be found here:
https://economiaefinanza.luiss.it/uploads/2024/03/Bando-Assegno-Prof.-Scarsini-PRIN-2022-PNRR-ENG.pdf
The candidates must submit their application online here:
https://cloudserverjsa.luiss.it/LGCAssegni/index.zul?CDS=AS4239
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Marco Scarsini
Dipartimento di Economia e Finanza
Luiss University
Viale Romania 32
00197 Roma, ITALY
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