Postdoctoral Researcher in Digital Twins and Structural Analysis (Renewable Energy, Remote)

Job summary

This position focuses on advancing digital twin technologies and structural analysis for wind turbine blades, contributing to the green energy transition. The role involves collaboration within a cross-disciplinary team to support R&D in the wind energy sector.

Qualifications

• PhD degree or equivalent in a relevant field.
• Strong expertise in structural mechanics, structural dynamics, and composite materials.
• Proficiency in software development, preferably in Python and/or C++, with experience in git workflows.
• Familiarity with sensor data integration and damage assessment techniques.
• Understanding of digital twin concepts, including model updating and lifecycle predictions.
• Excellent communication skills in English and ability to work independently and collaboratively.

Responsibilities

• Develop efficient reduced-order models for large composite wind turbine blades.
• Design hybrid modelling approaches that integrate sensor data for real-time digital twin performance.
• Contribute to the development of next-generation digital twin frameworks.
• Translate modelling outputs into user-friendly applications, including APIs and immersive visualizations.
• Disseminate research findings through publications and industrial demonstrations.

Skills

• Experience with hybrid modelling and machine learning techniques.
• Knowledge of data standards and FAIR data principles for research software.
• Innovative mindset with the ability to generate new ideas and solutions.

Education

• A PhD degree in a relevant field is required.

Tools

• Proficiency in Python and/or C++, git, and data integration tools.