PhD position in Computational mechanics | |
| Workplace | Zurich - Zurich region - Switzerland |
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100%, Zurich, fixed-termThe Computational Mechanics Group in the Department of Mechanical and Process Engineering of ETH Zurich is seeking one doctoral student. The position is funded by the SOFRA(CT) project and aims at investigating the failure of elastomers using the phase-field approach to fracture. The goal of the PhD project is to develop cutting edge models for the fracture behavior of polymeric rubbers based on experimental evidence. The PhD candidate will work in the team of Dr. P. Carrara and will be in charge of developing new models to reproduce and predict the experimental evidence obtained by another PhD candidate, with whom he/she will work in close contact. The models will be studied both numerically using HPC libraries as well as theoretically. Job description
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Working, teaching and research at ETH Zurich We value diversity and sustainabilityIn 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. Sustainability is a core value for us - we are consistently working towards a climate-neutral future . Curious? So are we.We look forward to receiving your online application with the following documents:
Please note that the review of applications will begin on December 1, 2025 and continue until the position is filled. Applications should be submitted through our online application portal. Applications via email or postal services will not be considered. Questions regarding the position should be directed to Dr. Pietro Carrara, email: pcarraraethz.ch (no applications). We would like to point out that the pre-selection is carried out by the responsible recruiters and not by artificial intelligence. Apply online now
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In your application, please refer to myScience.de and reference JobID 213057. | |
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