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Eleni Chatzi

9 months ago

PhD position in Data-Informed Reduced Order Modelling for Wind Energy Structures ETH Zürich in Switzerland

Degree Level

PhD

Field of study

Computer Science

Funding

Available

Deadline

Expired

Country flag

Country

Switzerland

University

ETH Zürich

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Keywords

Computer Science
Mechanical Engineering
Electrical Engineering
Mathematics
Civil Engineering
Wind Energy
Computational Science
Fluid-structure Interaction
Data-driven Modeling
Engineering Applications
Applied Mathematic
energy storage systems

About this position

The Chair of Structural Mechanics and Monitoring at ETH Zurich invites applications for a fully funded PhD position in Data-Informed Reduced Order Modelling for Wind Energy Structures, as part of the Marie Skłodowska-Curie Doctoral Networks (MSCA-DN) project COMBINE. This international doctoral network brings together leading academic and industrial partners to address advanced modelling, simulation, sensing, and data analysis challenges in engineering systems, with a focus on decarbonization and sustainable energy solutions.

The COMBINE-DC17 position is hosted at ETH Zurich, Switzerland, and centers on developing adaptive reduced order model (ROM) frameworks for coupled problems in wind energy structures. The research aims to advance ROM methodologies for fluid–structure interaction (FSI) and real-time monitoring/control in wind turbine systems. Key objectives include integrating real-time monitoring data and virtual sensing to dynamically select and adjust model fidelity, designing and validating virtual sensing methods, implementing ROMs for FSI in wind turbines, and demonstrating adaptive ROMs for real-time simulation, decision support, and control in offshore wind energy contexts.

As a doctoral candidate, you will benefit from network-wide training activities, interdisciplinary collaborations, and planned secondments to partner institutions (UGENT, TUM, CIMNE). The position offers a vibrant international research environment, structured doctoral training, and opportunities for industry and academic visits within the consortium. Upon completion, you will gain a comprehensive understanding of the research-to-innovation process and build a strong international network.

Applicants must hold an M.Sc. or equivalent in civil, mechanical, or electrical engineering, geosciences, physics, applied mathematics, computer sciences, or related fields. Essential qualifications include strong analytical and quantitative skills in numerical analysis, programming, high-performance computing, dynamics and structural health monitoring, data analysis and modelling, and interest in laboratory-based experimentation. Proficiency in English is required, along with good interpersonal skills, ability to work in a multidisciplinary environment, and willingness to spend time at partner universities. Eligibility criteria: candidates must not have been awarded a PhD and must not have resided or carried out their main activity in Switzerland for more than 12 months in the last 3 years.

ETH Zurich is renowned for its excellence in science and technology, offering a diverse and inclusive environment that values equality, sustainability, and independent thinking. The university provides a climate-neutral future vision and supports the rights and dignity of all staff and students.

Applications are accepted exclusively through the ETH Zurich online portal. Required documents include a letter of motivation, CV, clear designation for the position COMBINE DC17, academic diplomas and certificates, and contact details for two referees. The review process begins January 15th 2026 and concludes by April 30th 2026. For further information, visit the Chair of Structural Mechanics and Monitoring website at ETH Zurich.

Funding details

Available

What's required

Applicants must hold an M.Sc. Diploma (120 ECTS points) or equivalent in civil, mechanical or electrical engineering, geosciences, physics, applied mathematics, computer sciences or related fields, and be at the beginning of their research career. Strong analytical and quantitative skills in numerical analysis, programming, high-performance computing, dynamics and structural health monitoring, data analysis and modelling, and interest in laboratory-based experimentation and engineering applications are required. Solid knowledge of English as the spoken and written language of work is mandatory. Good interpersonal skills, ability to thrive in a diverse, multidisciplinary environment, ability to present work in international conferences, and willingness to spend months working with project collaborators at partner universities are expected. Eligibility: Researchers must not have been awarded a PhD and must not have resided or carried out their main activity in Switzerland for more than 12 months within the last 3 years.

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Professors

Chair of Structural Mechanics & Monitoring

University Name
Country flag

Switzerland

Research Interests

Energy Engineering

Structural Engineering

Mechanical Engineering

Civil Engineering

Electrical Engineering