Studierende finden an der ETH Zürich ein Umfeld, das eigenständiges Denken fördert, Forschende ein Klima, das zu Spitzenleistungen inspiriert.
The Chair of Infrastructure Management lead by Professor Dr. Bryan T. Adey in the Institute of Construction and Infrastructure Management of the Department of Civil, Environmental and Geomatic Engineering has an opening for a doctoral student focused on the resilience of complex and interconnected infrastructure systems.
Complex and interconnected infrastructure systems, including transportation, water, electricity and gas ensure the functioning of society. Events that affect the functioning of these systems can have far-reaching consequences, which depend on how the events initially affect the physical infrastructure, how managers react to the events to stop cascading, and how they restore the functioning of the system(s) over time. A deep understanding of the resilience of complex and interconnected infrastructure systems is required if actions are to be taken to improve their resilience. This in turn requires the ability to model these complex systems and how they will react to potentially resilience improving actions. Although there has been many recent advances in this area for different types of infrastructure, significantly more is possible.
The goal of this doctorate is to improve the modelling of a complex infrastructure system, taking into consideration the physical infrastructure network and its interconnectedness with other infrastructure networks, the environment in which it is embedded, and how this might change in the future, due to a changing climate, and the organisations responsible for providing service. The specific infrastructure system targeted will depend on numerous factors, including the interests of the candidate. The specific modelling techniques used will be the ones most suitable to the case study.
The successful candidate for this doctoral position will have a Master’s degree in civil engineering, systems engineering, spatial planning or a related field, and will have experience with one or more of the following: agent-based simulations, system dynamics, mathematical modelling, probability theory, risk assessment, R, python and GIS. Good knowledge of English is essential. Good knowledge of German is beneficial.
We look forward to receiving your online application including the following documents: letter of interest including your ideas of possible work, a curriculum vitae (with list of publications and contact information of at least two referees), grades of all university courses taken as well as diplomas. Please note that we exclusively accept applications submitted through our online application portal. Applications via e-mail or postal services will not be considered. Candidates will be screened on a continuous basis until the position has been filled. The starting date is flexible.
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