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PhD position in Decision Support at the Fleet Level
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PhD position in Decision Support at the Fleet Level
ETH ZürichZurich, SwitzerlandPhD position in Decision Support at the Fleet Level
DIAMOND seeks to appoint 16 highly motivated Ph.D. candidates to a range of positions across Europe. These Doctoral Candidate (DC) positions offer an exciting opportunity to work with leading experts across Europe to develop solutions for . This position focuses on next-generation distributed intelligence and decision support for large fleets of civil infrastructure assets, including bridges, railways, and wind turbines.
Project background
The scientific aim of DIAMOND is to develop decentralized, data-driven frameworks that enable robust monitoring and condition assessment of infrastructure fleets. By combining smart sensing with distributed intelligence and advanced stochastic modelling, the project delivers new methods for scalable prediction and decision support across diverse asset types.
The DIAMOND network brings together leading academic institutions and major industrial partners from across Europe, spanning Ireland, Italy, the United Kingdom, Denmark, France, Greece, Finland, the Netherlands, Austria, Germany, and Switzerland.
Job description
In this role, you will benefit from advanced training in various European universities and industry, participate in scientific discussions within the rich context of the Marie Skłodowska-Curie Action Doctoral Network (MSCA DN) DIAMOND.
Doctoral candidate position A-DC1 will be hosted and matriculated at ETH Zurich, with planned secondments at Rambøll (RamG) and the Commissariat à l’Énergie Atomique et aux Énergies Alternatives (CEA). The doctoral candidate will work on distributed intelligence and decision support for fleet-level monitoring of critical infrastructure.
The objectives of this thesis include :
- developing graph-based and stochastic models for decentralized condition assessment and predictive maintenance across fleets of assets; and
- creating decision-support modules that integrate sensing, uncertainty quantification, and asset typologies to enable scalable, real-time evaluation and mitigation strategies.
This position is offered for 36 months , with the earliest starting date as agreed upon recruitment. The primary academic advisor is Prof. Eleni Chatzi (ETH Zurich, D-BAUG) , under close collaboration with Dr. Michele Magno (ETH Zurich, D-ITET, supervisor of A-DC2, A-DC3), and additional mentorship provided during secondments.
Profile
Applicants must hold a
We expect good interpersonal skills, the ability to thrive in a diverse, multidisciplinary environment, ability to present work in international conference, as well as the willingness to spend a number of months working with project collaborators at partner universities in this project.
Eligibility Criteria : Researchers can be of any nationality. At the time of recruitment, researchers :
We offer
We offer you the opportunity to be a part of DIAMOND, which will not only facilitate sixteen DCs in reaching a high level of technical and project-specific excellence but will also provide you with many opportunities for developing skills that are transferable to a broader landscape of opportunities. You will have the opportunity to visit industry and other academic institutions within the consortium. After completing the program, you will have a thorough understanding of the process from research via innovation to industry implementation and a strong career-defining network.
Working, teaching and research at ETH Zurich
We value diversity and sustainability
In 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 including :
The applications will be reviewed starting January 15th 2026 with the intent to conclude the search by April 30th 2026. Please note that we exclusively accept applications submitted through our online application portal. Applications via email or postal services will not be considered.