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Annalisa Manera

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1 days ago

Marie Skłodowska-Curie Doctoral Training Network – Coupled Problems for Decarbonization in Industry and Power Generation (COMBINE) ETH Zürich in Switzerland

Degree Level

PhD

Field of study

Computer Science

Funding

Full funding available
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Country

Switzerland

University

ETH Zürich

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Keywords

Computer Science
Signal Processing
Mechanical Engineering
Materials Science
Mathematics
Energy Engineering
Process Engineering
Sensor Technology
Tomography
Fluid-structure Interaction
Noise Reduction
Metamaterial
Physics
Machine learning

About this position

The Marie Skłodowska-Curie Doctoral Training Network (COMBINE) at ETH Zürich offers a unique PhD opportunity focused on coupled problems for decarbonization in industry and power generation. This interdisciplinary network unites 17 academic institutions and 14 industrial partners across Europe, addressing key challenges in fluid structure interaction (FSI) relevant to energy, process, and materials engineering.

The featured project centers on high-resolution experimental measurements of vibrations in rods and rod bundles using ensemble average high-resolution gamma tomography. The research leverages ETH Zürich's state-of-the-art gamma tomography system, aiming to advance tomographic techniques for evaluating vibrations in rod bundles. The project involves constructing experimental setups, conducting measurements with gamma tomography, and applying AI-assisted reconstruction and imaging techniques. Machine learning will be used for noise reduction and data enhancement, providing a cutting-edge approach to experimental engineering research.

Applicants should have a Master's degree in engineering, physics, applied mathematics, computer science, or a closely related field. Essential skills include a strong background in mathematics and machine learning, programming proficiency (Python, C++ or similar), and experience with data processing and model interpretation. The ability to work independently and collaboratively in an international research environment, along with good written and spoken English, is required. Hands-on experience with experimental setups and basic electronics is advantageous.

Successful candidates will benefit from an excellent research environment, supervision by internationally recognized academic and industrial experts, network-wide training events, and local courses in technical and transferable skills. International secondments at partner institutions across Europe are included. The research group offices and experimental laboratory are located at Paul Scherrer Institute (PSI), Villigen, Switzerland.

ETH Zürich is renowned for its commitment to diversity, sustainability, and excellence in science and technology. The university promotes equality of opportunity and a climate-neutral future, providing a supportive environment for all staff and students.

Applications must be submitted online via the ETH Zürich application portal. Required documents include CV, transcripts, and cover letter. For further information about the Laboratory of Nuclear Systems and Multiphase Flows, visit the ETH Zürich website. Questions regarding the position can be directed to Prof. Annalisa Manera ([email protected]), but applications via email or postal services will not be considered.

This position offers a competitive salary as part of the Marie Skłodowska-Curie Doctoral Training Network, with comprehensive training and international research opportunities. Join a vibrant, interdisciplinary team working towards innovative solutions for decarbonization in industry and power generation.

Funding details

Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.

How to apply

Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.

More information can be found here

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