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David Kammer

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Postdoctoral Researcher in Modeling Damage Mechanics in Cavitation of Soft Materials ETH Zürich in Switzerland

I am offering a postdoctoral researcher position in modeling damage mechanics in cavitation of soft materials at ETH Zürich.

ETH Zürich

Switzerland

email-of-the@publisher.com

Date not provided

Keywords

Biomedical Engineering
Mechanical Engineering
Materials Science
Aerospace Engineering
Civil Engineering
Uncertainty Analysis
Computational Mechanics
Multiscale Modeling
Viscoelasticity
Cavitation
Continuum Mechanics
Soft Materials
Poroelasticity
Constitutive Modeling
Mechanical Failure
Macroscopic Deformation

Description

ETH Zürich invites applications for a Postdoctoral Researcher position in Modeling Damage Mechanics in Cavitation of Soft Materials, based at the Professorship of Solid Mechanics (SMEC) in the Institute for Building Materials. The group investigates how materials deform, degrade, and fail, with a focus on understanding the physical mechanisms underlying failure and translating this knowledge into more resilient materials and structures. Research activities span numerical modeling, laboratory experiments, and theoretical analyses, linking microscopic processes to macroscopic behavior in both engineering and natural systems. The successful candidate will lead computational and theoretical investigations into damage evolution associated with cavitation in soft materials under high-rate loading. The project emphasizes developing physics-based models that connect behavior across scales, from polymeric networks and mesoscale structures to macroscopic continua, using coarse-graining and homogenization strategies. Responsibilities include formulating constitutive and damage laws for cavitation-driven processes, implementing and verifying large deformation solvers, and performing rigorous validation using experimental datasets from collaborators at the University of Wisconsin–Madison. Applicants should hold a doctoral degree in mechanical, civil, aerospace, biomedical engineering, materials science, physics, or a related field. Required expertise includes computational solid mechanics, nonlinear continuum mechanics, and fracture/damage modeling under large deformations. Proficiency in Python and good software engineering practices are expected. Experience with high-rate dynamics, cavitation, viscoelastic or poroelastic behavior, or uncertainty quantification is a plus. The position offers a collaborative, international research environment, with opportunities for joint meetings and short research visits with Prof. Christian Franck’s group at the University of Wisconsin–Madison. ETH Zürich provides outstanding scientific resources, high-performance computing, and a family-friendly, diverse workplace. The position is available with a flexible start date and can be offered at 80–100% workload. Applications must be submitted online and should include a CV, publication list, research statement, and contact details for two references. For further information, contact Prof. David Kammer at dkammer@ethz.ch (no applications via email). ETH Zürich is a world-leading university in science and technology, renowned for excellence in education and research, and committed to diversity, sustainability, and open opportunities for all staff and students.

Funding

Available

How to apply

Submit your application online via the ETH Zurich application portal. Include a CV, list of publications, a brief statement of research interests, and contact details of two references. Applications via email or postal services will not be considered.

Requirements

Applicants must hold a doctoral degree in mechanical, civil, aerospace, biomedical engineering, materials science, physics, or a closely related field. A strong background in computational solid mechanics and nonlinear continuum mechanics, including fracture and damage modeling under large deformations, is required. Candidates should be proficient in Python and possess good software engineering practices such as version control and testing. Experience with high-rate dynamics, cavitation, viscoelastic or poroelastic behavior, or uncertainty quantification is advantageous. Strong communication skills in English, the ability to mentor students, and a commitment to open and reproducible research are essential.

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