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Postdoctoral Research Scholar: multi-layer network approaches to quantify systemic risk and resilience at IIASA

A fully funded postdoctoral position in an internationally renowned institution, IIASA. The research group working on the project includes also scientists from the Complexity Science Hub Vienna (CSHV), Austria. The successful candidate will be expected to collaborate with researchers at IIASA and CSHV and will have the opportunity to work on the empirical analysis of unique financial data in order to understand the origin and spreading of systemic risk on multi-layer networks and the emergence of resilience. A further aim in the group is the development of large-scale agent-based simulation models, which the candidate would also be involved in. The successful applicant will be initially be offered a full-time employment contract for two years. Depending on the availability of funding, there may be a possibility to extend the contract for a third year.  IIASA offers a competitive salary (based on qualifications and experience) together with a benefits package which includes home leave, moving and settlement allowances, educational grants for children of school age, and five weeks’ annual vacation. IIASA salaries are exempt from taxation in the host country of Austria, subject to the principle of income aggregation.  

We are searching for:

An excellent early stage scientist with a PhD or equivalent in physics, mathematics, computer science, economics, or related fields. Ideally, you have experience in working with financial network data and agent based models, are eager to extend your knowledge in network analysis, data mining, and large-scale agent based models. You should have good programming skills and experience, and a critical, open-minded, entrepreneurial, and collaborative spirit.

LabLaxenburg (by Vienna)
Starts on01/03/2019
Duration/Periodtwo years
Deadline31/01/2019 23:00

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