Postdoc: MDAO Lead for Floating Wind Farms

Delft; Delft; A distancia; EUR 42.000 - 54.000; Jornada completa

Descripción de la vacante

TU Delft invites applications for a Post-doctoral researcher position in Floating Offshore Wind Energy to advance MDAO for floating wind farms. You will develop and apply MDAO tools to analyze supply chain readiness and regional deployment challenges.

The role offers collaboration with diverse faculties and industry partners within HybridLabs, with emphasis on reducing technical, monetary, and schedule risks in offshore energy systems.

Formación

• PhD in system engineering, applied sciences, wind energy, or related field.
• Fundamental knowledge of MDAO (multi-disciplinary analysis and optimisation).
• Good knowledge of scientific computing, object-oriented programming (Python), and version control (git). Experience with FAIR and open-source software development is a plus.
• Familiar with the system and/or supply chain challenges for offshore/floating wind energy. Experience with supply chain modelling for offshore/floating wind energy is a plus.
• Curiosity to engage with multi-disciplinary stakeholders. Experience with collaboration across institutions is a plus.
• Attitude to teamwork and excellent communication skills in spoken and written English, combined with demonstrated creativity, self-learning skills and an inclination towards research.

Responsabilidades

• Develop and disseminate MDAO software for floating wind farms.
• Apply MDAO to assess logistical aspects of large-scale deployment.
• Collaborate with TU Delft and HybridLabs partners.

Conocimientos

MDAO

Python

Git

Wind energy

Teamwork

Educación

PhD in system engineering

Herramientas

FAIR

Open-source software

Descripción del empleo

TU Delft invites applications for a Post-doctoral researcher position in Floating Offshore Wind Energy to advance MDAO for floating wind farms. You will develop and apply MDAO tools to analyze supply chain readiness and regional deployment challenges.

The role offers collaboration with diverse faculties and industry partners within HybridLabs, with emphasis on reducing technical, monetary, and schedule risks in offshore energy systems.