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Phd position in wind farm fatigue load surrogating through graph-based machine learning

European Commission
30 000 € par an
Publiée le 24 juillet
Description de l'offre

Organisation/Company: Vrije Universiteit Brussel (VUB)

Research Field: Computer science, Engineering, Technology

Researcher Profile: First Stage Researcher (R1)

Country: Belgium

Application Deadline: 25 May 2025 - 21:59 (UTC)

Type of Contract: Temporary

Job Status: Full-time

Hours Per Week: 38

Funding: Not funded by a EU programme

Research Infrastructure Staff Position: No


Offer Description


1 - Working at the VUB

The Vrije Universiteit Brussel has been committed to freedom, equality, and solidarity for over 50 years. With approximately 4,000 employees, it is the largest Dutch-speaking employer in Brussels, an international city with three campuses.

The university promotes free research, critical thinking, and an open, creative approach to scientific and social issues, making it a pioneering institution in education and research. VUB is also a member of EUTOPIA, a European university alliance focused on reinvention and innovation.


2 - Position and Research Focus

The Faculty of Engineering, Department of Toegepaste mechanica, seeks a PhD student with a doctoral grant.

The research involves developing graph-based machine learning surrogates of wind energy systems to enhance wind turbine fatigue load estimation, integrating structural health information into wind farm asset management, and optimizing structural lifetime and power production.

The project combines wind energy and machine learning, focusing on physics-based simulation acceleration using graph neural networks. The candidate will validate and improve surrogate models, explore transfer learning, and work closely with supervisors Prof. Christof Devriendt and Dr. Francisco de Nolasco, within a vibrant research group involved in structural health monitoring and wind energy projects.


3 - Profile

Required qualifications include:

* Master's degree in a relevant field (e.g., mechanical/electrical/civil engineering, energy, computer science)
* Motivation for high-level scientific research
* Analytical, technical, and programming skills (Python advantageous)
* Interest in mechanical behavior, monitoring, offshore wind energy
* Knowledge of graph neural networks is highly regarded
* Ability to work independently, creatively solve problems, and communicate effectively in English
* No more than 12 months of paid assistant work in the past

VUB values diversity and encourages applicants from all backgrounds.


4 - Offer

The position offers a full-time PhD scholarship starting 01/07/2025, initially for 12 months, extendable up to 48 months based on performance. Benefits include flexible working options, holiday entitlement, insurance, travel reimbursement, campus facilities, and a supportive work environment.


5 - Interested?

Apply by 25/05/2025 at jobs.vub.be with your CV and diploma (if applicable). For more info about VUB and EUTOPIA, visit the provided websites.

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