Professor in X-Ray Characterization, Modelling and Prediction of Mechanical Properties of Composites Materials for Wind Energy Applications

If you are keen on contributing to the green transition, envisioning a planet running entirely on renewable energy, and looking for the best possible environment for fulfilling your dreams and ambitions, it is right here in front of you. 

At DTU Wind and Energy Systems, we are advancing the research frontier in materials for wind energy applications. Our ambition is to develop advanced and reliable materials through cutting‑edge computational modelling, strengthened by insights from X‑ray computed tomography. By linking detailed microstructural measurements to the behaviour of materials in their final structural context, we can create highly reliable predictive models. These capabilities are crucial for extending turbine lifetimes, enabling resilient structural design, and driving innovation in next‑generation wind‑energy technologies.

Responsibilities and qualifications

As Professor, you will be responsible for establishing and leading an internationally recognised research programme in X-ray-based characterization, physics-based modelling, and structural performance prediction of composite materials for wind energy applications.

You will be expected to contribute to the following research challenges:

• Developing new techniques and approaches for analysing X-ray data in fibre-reinforced composites, including fibre misalignment and other manufacturing-induced features.
• Supporting the implementation of X-ray-based imaging techniques in quality control and qualification of composite materials and structures.
• Optimising testing techniques for fibre-reinforced composites through advanced X-ray-informed finite element modelling.
• Advancing digitalization and multiscale computational modelling of wind turbine blade materials, with a focus on mechanical performance and the influence of manufacturing processes.
• Using advanced computational modelling to enable the development and utilisation of innovative materials for wind energy applications.

You will also be expected to:

• Attract national and international research funding and lead large-scale, trend-setting research projects.
• Further develop collaborations with national and international research institutes and industrial partners.
• Take a leading role in teaching and supervision at the Beng, BSc, MSc, and PhD levels, including online and lifelong-learning activities.
• Contribute to the implementation of DTU's strategic objectives and DTU Wind and Energy Systems' strategy, including sustainable technological transition, digital engineering, and the advancement of next-generation wind energy technologies.

The ideal candidate will demonstrate scientific excellence in finite element modelling, X-ray computed tomography, and other image-based characterization techniques across multiple length scales, with direct application to composite materials used in wind turbine blades.

The successful candidate should have:

• A documented record of original scientific contributions and high-quality publications within relevant fields.
• Clear indicators of scientific impact and international visibility.
• Experience in coordinating national and international research projects.
• A strong track record of collaboration with the wind industry and other industrial stakeholders.
• Demonstrated ability to attract external research funding and develop strategic research activities.

In addition, the candidate should have documented experience and quality in teaching and educational development, including:

• Teaching and supervision at Beng, BSc, MSc, and PhD levels.
• Development of courses, teaching materials, and educational activities.
• Contributions to curriculum development and educational innovation.
• The ability and motivation to take a leading role in the further development of education within composite materials, computational modelling, and wind energy technologies.

Application procedure

Your complete online application must be submitted no later than 31 December 2026 (23:59 Danish time).

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