Eleni Chatzi
2 months ago
PhD Positions in Structural Health Monitoring, Metamaterials, and Decision Support at ETH Zurich ETH Zurich in Switzerland
Degree Level
PhD
Field of study
Computer Science
Funding
Positions are fully funded for 36 months under the Marie Skłodowska-Curie Doctoral Networks (MSCA DN) DIAMOND and Met2Adapt projects. Funding includes a competitive salary, mobility allowance, and coverage for secondments at partner institutions. The program offers advanced training, industry visits, and a strong career-defining network. Tuition fees are covered, and additional benefits may apply according to MSCA rules.
Deadline
Expired
Country
Switzerland
University
ETH Zurich

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Where to contact
Official Email
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About this position
The Chair of Structural Mechanics and Monitoring at ETH Zurich is recruiting three PhD candidates within two new Marie Skłodowska-Curie Doctoral Networks: DIAMOND (Decentralized critical Infrastructure Asset Monitoring and coNDition assessment) and Met2Adapt (Advanced Meta-materials and Meta-Structures for Adaptable, Resilient and Sustainable Renewable Energy Power Plants). These positions are at the forefront of research in infrastructure monitoring, metamaterials, and resilient energy systems.
DIAMOND focuses on developing decentralized, AI-driven monitoring tools for critical infrastructure such as bridges, railways, and wind turbines. Research topics include graph-based and stochastic models for condition assessment, predictive maintenance, and decision-support frameworks integrating sensing, uncertainty quantification, and asset typologies. The project aims to create self-aware infrastructure capable of real-time condition assessment, promoting safer and more sustainable decision-making across sectors.
Met2Adapt trains researchers in sustainable metamaterials for renewable energy, targeting vibration mitigation, self-aware meta-components, and carbon-efficient meta-structures. Projects include developing meta-structures with autonomous sensing capacities and active meta-structures for damage detection and localization on wind turbine blades. The research leverages advanced simulation frameworks, machine learning, and experimental validation to enhance energy resilience and safety.
All positions are hosted at ETH Zurich, supervised by Prof. Eleni Chatzi, Dr. Michele Magno, Dr. Vasilis Dertimanis, and Dr. Andrea Colombi (ZHAW). The program offers interdisciplinary training, industry secondments, and collaboration with leading European institutions. Applicants must hold a relevant Master's degree, demonstrate strong analytical and quantitative skills, and meet MSCA mobility rules (not have resided in Switzerland for more than 12 months in the last 3 years). English proficiency and willingness to work in a diverse, international environment are required.
Funding is provided for 36 months, including salary, mobility allowance, and tuition coverage. The application deadline is January 15, 2026, with positions starting as agreed upon recruitment. To apply, submit your documents online via the ETH Zurich portal, specifying the position of interest. For further information, visit the Chair of Structural Mechanics and Monitoring website or contact Prof. Chatzi or Dr. Ntertimanis by email.
Keywords: structural health monitoring, metamaterials, meta-structures, AI-enabled monitoring, decision support, predictive maintenance, vibration energy harvesting, damage detection, renewable energy, civil engineering, mechanical engineering, data analysis, machine learning.
Funding details
Positions are fully funded for 36 months under the Marie Skłodowska-Curie Doctoral Networks (MSCA DN) DIAMOND and Met2Adapt projects. Funding includes a competitive salary, mobility allowance, and coverage for secondments at partner institutions. The program offers advanced training, industry visits, and a strong career-defining network. Tuition fees are covered, and additional benefits may apply according to MSCA rules.
What's required
Applicants must hold a Master's degree (M.Sc. Diploma, 120 ECTS points or equivalent) in civil, mechanical or electrical engineering, geosciences, physics, applied mathematics, computer science, or a related field. Strong analytical and quantitative skills in numerical analysis, programming, high-performance computing, dynamics, structural health monitoring, data analysis, and modelling are required. Solid knowledge of English (spoken and written) is mandatory. Applicants must be at the beginning of their research career, not have a doctoral degree, and must not have resided or carried out their main activity in Switzerland for more than 12 months within the last 3 years. Good interpersonal skills and willingness to work in a multidisciplinary, international environment and to spend months at partner institutions are expected.
How to apply
Submit your application online via the ETH Zurich application portal. Include a letter of motivation, CV, academic diplomas and certificates, and contact details for two referees. Clearly indicate the position (DIAMOND A-DC1, M2A ESR15, or M2A ESR16) you are applying for. Applications via email or postal services will not be considered.
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