Postdoc in Digital Twins and Software for Wind Turbine Blades - DTU Wind at Danmarks Tekniske Universitet

Roskilde, Region Zealand, Denmark -

Full Time

Start Date

Immediate

Expiry Date

23 Jun, 26

Salary

0.0

Posted On

25 Mar, 26

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Structural Mechanics, Structural Dynamics, Composite Materials, Reduced-Order Modelling, Model-Order Reduction, Software Development, Python, C++, Git Workflows, Sensor Data Integration, Time-Series Data, Hybrid Modelling, Machine Learning, Digital Twin Concepts, API Development, Data Pipelines

Industry

Research Services

Description

Do you have a passion for solid mechanics and software, and do you want to create solutions for the world's green transition? You will be part of a research group which takes a holistic approach to wind turbine blades, integrating all aspects that contribute to their structural integrity, performance, and sustainability. DTU Wind & Energy Systems invites applications with a talent and passion for structural analysis and digitalization for a position as postdoc at the section for Blade Testing and Design working with world leading university labs for testing and manufacturing wind turbine blades. Our section and labs have been evaluated to be of high international quality and recognized to be part of a truly unique world leading research centre. Besides doing advanced structural testing and measurements, we are also making the facilities internationally recognized as development and demonstration labs for Digital Twins and related digitalization technologies. Our projects have won prizes such as the JEC Composites Innovation Award 2024 in the Digital, AI & Data category. Responsibilities and qualifications We seek a Postdoc who can contribute to the development of computationally efficient modelling, data integration, and digital twin technologies within our projects, with a strong emphasis on real‑time prediction and interaction. One of our main projects are ReliaBlade-2 with more info at https://reliablade.dtu.dk/. You will join a cross-disciplinary, international team collaborating on supporting the R&D needs for key industry players in the wind energy industry. The areas of responsibility include: * Develop reduced‑order and low‑fidelity models for large composite wind turbine blades, enabling fast prediction of structural response and damage indicators for advanced monitoring and analysis. * Design hybrid physics‑based and data‑driven modelling approaches, integrating sensor data to achieve accurate, robust, and real‑time or near‑real‑time digital‑twin performance. * Contribute to next‑generation digital twin frameworks, combining simulation, uncertainty handling, and continuous updating across laboratory, sub‑component, and full‑scale blade tests. * Translate modelling and digital‑twin outputs into user‑facing applications, including APIs, data pipelines, and immersive visualisation (e.g. AR), and disseminate results through high‑impact publications and industrial demonstrations. * Strong expertise in structural mechanics and/or structural dynamics and composite materials. * Experience with reduced‑order modelling and model‑order reduction techniques for large structural systems. * Solid software development skills, preferably in Python and/or C++, including git and gitlab workflows, testing, and documentation. * Experience working with sensor data and integrating time‑series data into models for damage assessment, or NDT. * Skills in hybrid modelling, combining physics‑based models with machine‑learning or data‑driven approaches. * Understanding of digital twin concepts, including model updating, uncertainty handling, and lifecycle‑based prediction. * Experience developing APIs, interfaces, or data pipelines connecting simulation tools with user‑facing applications including visualization. * Familiarity with data standards, metadata, ontologies, and FAIR data principles for interoperable research software. * Strong communication and collaboration skills, with a track record of scientific publications and teamwork across modelling and experimental domains. * Innovative skills and the ability to generate new ideas. * Ability to contribute to the development of the department’s internal and external cooperation. As a formal qualification, you must hold a PhD degree (or equivalent). Furthermore, good English communication skills are essential. Applicants should be highly motivated, ambitious, and eager to seek and share knowledge. You should also be willing and able to work independently towards research goals and through interdisciplinary collaboration with industrial partners and across the different sections in the DTU Wind & Energy Systems department. Our research team works in several fields, and we expect you to have a background and qualifications in at least a few of the following areas: In the assessment of the candidates, consideration will also be given to: We offer DTU is a leading technical university globally recognized for the excellence of its research, education, innovation and scientific advice. We offer a rewarding and challenging job in an international environment. We strive for academic excellence in an environment characterized by collegial respect and academic freedom tempered by responsibility. Salary and terms of employment The appointment will be based on the collective agreement with the Danish Confederation of Professional Associations. The allowance will be agreed upon with the relevant union. The period of employment is 2 years. You can read more about career paths at DTU here [http://www.dtu.dk/english/about/job-and-career/working-at-dtu/career-paths]. Further information Further information may be obtained from Kim Branner, kibr@dtu.dk [kibr@dtu.dk] You can read more about DTU Wind at https://wind.dtu.dk/ [https://wind.dtu.dk/] If you are applying from abroad, you may find useful information on working in Denmark and at DTU at DTU – Moving to Denmark [https://www.dtu.dk/english/about/job-and-career/moving-to-denmark]. Application procedure Your complete online application must be submitted no later than 3 May 2026 (23:59 Danish time). Applications must be submitted as one PDF file containing all materials to be given consideration. To apply, please open the link "Apply now", fill out the online application form, and attach all your materials in English in one PDF file. The file must include: * Application (cover letter) * CV * Academic Diplomas (MSc/PhD – in English) * List of publications Applications received after the deadline will not be considered. All interested candidates irrespective of age, gender, disability, race, religion or ethnic background are encouraged to apply. As DTU works with research in critical technology, which is subject to special rules for security and export control, open-source background checks may be conducted on qualified candidates for the position. DTU – For the benefit of society since 1829 DTU is one of Europe's leading elite technical universities. Through research and education at an international top level, we create solutions to the major societal challenges of our time and help secure Europe's global leadership in sustainable technological development. Since Hans Christian Ørsted founded DTU almost 200 years ago, our mission has remained the same: We develop and create value through the natural and technical sciences for the benefit of society. DTU has 13,800 students, 1,600 PhD students, and 6,500 employees. We work in an international environment and have an inclusive, stimulating, and informal work culture. DTU has campuses in all parts of Denmark and in Greenland and collaborates with the best universities around the world.

Responsibilities

The Postdoc will develop computationally efficient modeling, data integration, and digital twin technologies, focusing on real-time prediction and interaction for wind turbine blades. Responsibilities include developing reduced-order models, designing hybrid physics-based/data-driven approaches, contributing to digital twin frameworks, and translating outputs into user-facing applications.