Monday, March 30, 2015

[beasiswa] [info] PhD Student in Extreme Events in Industrial and Cyber Systems

 

ETH Zurich is one of the leading universities of the world with a strong focus on science and engineering. In 2011 it established the Singapore-ETH Centre (SEC) in collaboration with the National research Foundation (NRF) of Singapore to do interdisciplinary research on pressing problems. In collaboration with the National University of Singapore (NUS), the Nanyang Technological University (NTU), and Singapore Management University (SMU), SEC is undertaking a research programme on "Future Resilient Systems", providing an opportunity for about 40 PhD students and 25 PostDoc researchers to get a PhD degree and/or to strengthen their research skills in an inspiring cross-disciplinary research environment. Within this framework the ETH Singapore is announcing the following job opening. Workplace is Singapore.
PhD Student in Extreme Events in Industrial and Cyber Systems
This Project will address how to characterize system resilience, how to integrate multiple hazards into one metric, and how to appraise "beyond statistical distribution events", which it has been suggested be called "dragon king events". More specifically, the research work undertaken will develop metrics to characterize the resilience of both single socio-technical systems and a system of infrastructure system | identify network representations for CI systems with node resilience and between-nodes interdependencies to derive overall system resilience for different disruption scenarios | identify representations to integrate site- and technology- specific strains (e.g. technical failure and flooding) into the network level of interacting plants / structures | provide generic, quantitative conceptualizations of the resilience framework, consisting of response functions that reflects a system's strain-stress behavior, and a recovery function that represents system-inherent capabilities that are modulated by social capabilities and resources.
Owing to the highly quantitative nature of the study, the candidate will be expected to have excellent computing skills in numerical Languages such as Matlab or Python, as well as strong background in statistics, engineering, physical or mathematica sciences. All candidates will be evaluated on their merits and qualifications, without regard to gender, race, age, religion, or physical ability.

In order to increase the number of women in scientific research of this nature, we specifically encourage women to apply.

For further information please contact Dr. Dorsa Sanadgol by e-mail dsanadgol@ethz.ch We look forward to receiving your application. Please submit your personal records (letter of motivation, CV, testimonials and the contact information of two referees) via the online application portal on ETH zürich job portal (www.jobs.ethz.ch) by clicking the button «apply now» with attention to: ETH Zurich, Mr. Olivier Meyrat, Human Resources, CH-8092 Zürich.


Please note that applications via e-mail cannot be considered!

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Posted by: Tri Kurniawan Wijaya <trikurniawanwijaya@yahoo.com>
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