ETH Zurich is one of the leading universities in the world with a strong focus on science and engineering. In 2010 it established the Singapore-ETH Centre (SEC) in collaboration with the National Research Foundation (NRF) to do interdisciplinary research on pressing problems.
In collaboration with the National University of Singapore (NUS), the Nanyang Technological University (NTU), and the University of Illinois Urbana-Champaign (UIUC), SEC is undertaking a research programme on “Future Resilient Systems (FRS)”. The FRS addresses the challenges with critical infrastructure systems that provide essential services to modern societies, which is of particular importance to innovation-driven economies like Singapore and Switzerland. Within this framework, we are announcing the following job opening.
In the proposed collaborative research programme between SEC and CNRS@CREATE, we want to explore innovative and high-risk methods for redefining the current paradigm in decision-support toward optimal management of infrastructure systems under consideration of uncertainties, while allying physics-based models, data-driven model and solution enrichment, data-assimilation and active learning. This collaboration will be articulated around the research activities under progress in the SEC “Future Resilient Systems” and in the CNRS@CREATE “DesCartes” research programmes.
To support learning, models based on the subjacent physics, at least partially known, will be incorporated in the assessment loo, with a particular focus on the assimilation of advanced model order reduction techniques, in both their intrusive and non-intrusive formulations.
The primary advisor for the SEC-based Postdoctoral position will be Prof. Eleni Chatzi (SEC-ETHZ), with Prof. Francisco Chinesta (SNRS) as co-supervisor. The hired researcher will work with the CNRS-based Postdoctoral position, under the primary supervision of Prof. F. Chinesta. The earliest starting date is April 1st, 2023. Please note that the employment will be at the Singapore-ETH Centre.
- You must hold a PhD or equivalent University level diploma in data science, computer science, information technology, civil/mechanical, industrial & operational research, electrical engineering, geomatics/geodesy, or a related ﬁeld.
- Principal qualifications include strong programming experience, analytical and quantitative skills, experience with numerical analysis, particularly for structural engineering applications, data analysis and modelling, programming and ideally also high-performance computing and machine learning.
- You should be further experienced in sensor system development, sensor integration and operative data collection.
- A solid knowledge of written and spoken English is mandatory.
- We expect good interpersonal skills, the ability to thrive in a diverse, multidisciplinary environment, and the ability to present work at international conferences.
We value diversity
In line with our values, ETH Zurich encourages an inclusive culture. We promote equality of opportunity, value diversity and nurture a working and learning environment in which the rights and dignity of all our staff and students are respected. Visit our Equal Opportunities and Diversity website to find out how we ensure a fair and open environment that allows everyone to grow and flourish.
Curious? So are we.
We look forward to receiving your online application including the following documents:
- a letter of motivation
- a CV
- electronic copies of your educational certificates and
- recommendation letters from 2 referees
Please note that we exclusively accept applications submitted through our online application portal. Applications via email or postal services will not be considered.
For further information about the Chair of Structural Mechanics and Monitoring, which is the primary host, please visit our website. Questions regarding the position should be directed to Prof. Dr Eleni Chatzi by email at email@example.com (no applications) or by phone at +41 44 633 6755.