Marie Sklodowska-Curie Action
DIAMOND Doctoral Network (1 PhD position)
Decentralized critical Infrastructure Asset Monitoring and CoNDition assessment (DIAMOND)
DIAMOND is a European Doctoral Network funded by the European Commission’s Horizon Europe (HORIZON) Marie Skłodowska-Curie Action. More on the Doctoral Network can be found in the DIAMOND network project page.
We are hiring a Doctoral Candidate (DC8) to join Ramboll Danmark S/A in Denmark. The position, hosted in Ramboll Danmark S/A, has a duration of 36 months and can lead to a PhD degree. The successful candidate must enroll for the PhD program in the Department of Mechanical Engineering (www.mie.uth.gr) at the University of Thessaly (www.uth.gr), Greece.
Host Organization: The beneficiary/employer in the Doctoral Candidate position DC8 is Ramboll Danmark A/S in Denmark. The DC8 will be hosted by Ramboll Danmark A/S in the department of Monitoring and Analysis of Existing Structures and enroll for the PhD program in the Department of Mechanical Engineering of University of Thessaly (Greece).
Eligibility Criteria: The applicants may be of any nationality. At the time of recruitment, the researchers
- Shall be at their beginning of their research career and must not have been awarded a doctoral degree
- Conditions of international mobility require that researchers must not have resided or carried out their main activity in Denmark for more than 12 months in the 3 years immediately before the recruitment date (Compulsory national service, short stays such as holidays, and time spent as part of a procedure for obtaining refugee status under the Geneva Convention are not taken into account.)
- The candidate must hold a second-level Master of Science or equivalent degree in Civil or Mechanical Engineering or related fields to the project’s subject matter.
- Candidates who do not have the required qualification at the call closing date may apply but the academic qualifications must be awarded before enrolment in the PhD School.
POSITION
Application Process: To apply for the open position DC8 follow the Application link (PhD Researcher – Offshore Wind – Ramboll) in Ramboll Danmark S/A website. The following material should be submitted:
– detailed CV
– academic transcripts
– at least two names for academic references (with telephone numbers and email addresses)
– a motivation letter (1 to 2 pages max)
– electronic copies of academic diplomas and certificates
– Proof of solid knowledge of English.
The application deadline is 28 February 2026. However, if a suitable candidate is not found the application process will be open until the position is filled. It is not guaranteed that applications received after 28 February 2026 will be evaluated.
Contact Information: For more information you may contact Dr. Tobias Friis, Senior Specialist, Ramboll Danmark S/A, Email: tfri@ramboll.dk, Tel: (+45) 51610414.
The Hosting Group: Ramboll is a global architecture, engineering, and consultancy company. As a foundation-owned people company, founded in Denmark, we believe that the purpose of sustainable change is to create a thriving world for both nature and people. So, that’s where we start – and how we work. Our history is rooted in a clear vision of how a responsible company should act and being open and curious is a cornerstone of our culture. Ramboll employs more than 18,000 people globally across 35 countries. Ramboll experts deliver innovative solutions across Buildings, Transport, Water, Environment & Health, Energy, Management Consulting, and Architecture & Landscape. Combining local experience with global knowledge, we help shape the societies of tomorrow.
The PhD Enrollment Group: The Department of Mechanical Engineering (DME) (http://www.mie.uth.gr) of the University of Thessaly (http://www.uth.gr) is involved in the DIAMOND project. Within the DME, the research units “Systems Dynamics Laboratory (SDLab)” and “Automatic Control & Autonomous Systems Laboratory (ACAS)” will participate to the DIAMOND network. The SDLab is performing internationally leading research on data-driven uncertainty quantification in engineering science. SDLab research expertise include: probabilistic modeling, Bayesian inference, optimal experimental design, structural identification, structural health monitoring, structural reliability, design optimization under uncertainty. A wide range of applications is covered, including mechanical, structural and civil engineering systems, as well as smart infrastructure networks (e.g. transportation and water distribution networks). Through collaborations with international research groups in Europe and USA, members of SDLab (http://www.mie.uth.gr/labs/sdl) are also involved in research related to data-driven modeling and uncertainty quantification and propagation in the areas of molecular dynamics, nanotechnology, computational fluid dynamics, and in biomechanical/biological systems (e.g. multi-scale modelling of muscle tissues, epidemic spread on networks, optimal sensor cell distribution in fish lateral line), impacting developments in the broader field of data-driven simulation-based engineering and life sciences. The ACAS laboratory (http://control.mie.uth.gr) conducts research in automatic control, autonomous systems and their applications to cyber-physical systems including transport/irrigation networks and automated vehicles, robotics, healthcare and biomedical systems, environmental systems/wildfire management for climate, and further areas.