PhD Position in Reliability-Based Design Optimization Using Stochastic Emulators
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University: ETH Zurich
Country: Switzerland
Deadline: Not specified
The Chair of Risk, Safety & Uncertainty Quantification (RSUQ) at ETH Zurich is seeking applications for a PhD position as part of the ORACLES project (“Optimization, Reliability And Calibration using Emulators of Stochastic computational models”), funded by the Swiss National Science Foundation. This project aims to advance the field of uncertainty quantification (UQ) through the development and application of novel stochastic emulators, focusing on Reliability-Based Design Optimization (RBDO) for complex engineering systems.
Requirements:
* Master’s degree in Computational Science/Engineering, Applied Mathematics, Mechanical Engineering, Civil Engineering, or a related discipline
* Strong background and interest in uncertainty quantification, structural reliability, optimization (especially RBDO), and surrogate modeling/emulation
* Excellent programming skills (preferably Matlab or Python) and experience in machine learning
* Strong analytical and problem-solving skills
* Excellent communication and scientific writing abilities; fluency in English (written and spoken)
* Motivation for research in an international, multicultural team
Application Instructions:
Interested candidates are requested to submit the following documents via the ETH Zurich online application portal:
* Detailed curriculum vitae (CV)
* Motivation letter outlining interest and relevant experience
* Academic transcripts (Bachelor’s and Master’s degrees)
* Names and contact details (email and phone) of at least two references
Please note that applications submitted via email or postal services will not be considered. For further details and to apply, please visit: ETH Zurich Job Portal
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