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 Paul Scherrer Institute (PSI), 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 we are announcing the following job opening. Workplace is Singapore.
PhD Position in Human performance and the resilience of sectors
The research addresses the treatment of human performance in the analysis of system resilience. Methods to identify and model sectoral and inter-sector scenarios in which human performance and interdependencies are crucial to system resilience will be developed and applied. In the context of a small team, the PhD research will focus on the implementation of a new Human Reliability Analysis (HRA) method applicable to a broad scope of tasks and contexts. The PhD candidate will examine human performance data and human-related failure data and develop and test algorithmic approaches for estimating failure probabilities on the basis of the data.
We are seeking a candidate with a Master degree in statistics, engineering, technical, or natural sciences. Research, project experience, and coursework in probability and statistics, human factors, probabilistic reasoning, Bayesian Belief Networks and influence diagrams would be helpful. Familiarity with large, socio-technical systems would be a plus.
Our candidate of choice is self-driven and capable of independent work. Good communication skills. Enjoys teamwork and working in an interdisciplinary context. Fluent spoken and written English are required.
For further information please contact Dr. Vinh N. Dang by e-mail vinh.dang@psi.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) online by clicking the button «apply now» below with attention to: ETH Zurich, Mr. Olivier Meyrat, Human Resources, CH-8092 Zürich.
Applications via e-mail cannot be considered!
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Posted by: Tri Kurniawan Wijaya <trikurniawanwijaya@yahoo.com>
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