Postdoc in Computer Vision and Deep Learning for Renewable Energy - DTU Wind

If you are establishing your career as a scientist and you are looking for the best possible foundation for fulfilling your dreams and ambitions, it is right here in front of you. At DTU Wind and Energy Systems, you will break new ground at the absolute forefront of what is possible using computer vision technology for wind energy applications.

At DTU Wind Energy and Systems, we have a few projects related to our novel method, AQUADA, which uses thermography and computer vision to detect damage in wind turbines and PV panels. We are looking for a new colleague to further develop the method by solving real-world challenges in the renewable energy sector.

Responsibilities and qualifications
Your overall focus will be to strengthen the department’s competencies within structural health monitoring and damage inspection using computer vision and deep learning technologies. You will work with colleagues nearby and with academic and industrial partners in Denmark as well as abroad. Your primary tasks will be to:

• Develop computer vision, image processing and deep learning methods for damage detection of wind turbine blades considering varying conditions such as sunlight, temperature, wind, etc.
• Develop GUI tools for the developed methods. 
• Publish high-quality journal papers. 
• Supervise MSc student projects and be co-supervisor for PhD students.

The successful candidate is expected to have:

• A keen interest in pursuing applied research in computer vision and deep learning with a focus on wind energy application.
• Proven experience with computer vision tool/software development using Python and/or Matlab.
• A solid publication track record in the relevant field of expertise.
• Experience with thermal image analysis is an advantage. 
• Experience with hardware such as drones and cameras are an advantage. 
• Good analytical skills, and a proactive and collaborative attitude. 
• Excellent communication skills in English, both written and spoken.

You should have a solid background and research experience in computer vision, image processing and deep learning with a fundamental understanding of related disciplines such as mechanical engineering and composite materials.

As a formal qualification, you must hold a PhD degree (or equivalent). 

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.

Further information 
For further information regarding this position, please contact Head of Section, Associate Professor Xiao Chen (+45 93 51 35 67, xiac@dtu.dk, https://orbit.dtu.dk/en/persons/xiao-chen).

You can read more about DTU Wind and Energy Systems at www.vindenergi.dtu.dk/english 

You can read more about Section of Structural Virtual Testing and Digitalization at https://wind.dtu.dk/research/research-divisions/materials-and-components/structural-virtual-testing-and-digitalization 

If you are applying from abroad, you may find useful information on working in Denmark and at DTU at DTU – Moving to Denmark.

Application procedure 

Your complete online application must be submitted no later than 2 March 2025 (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 
• A 2-page research statement, including figures and references if necessary (max 1000 words). Relevant research achievements, methodological approach and research objectives in the framework of the Postdoc are recommended elements to be included.
• Contact of at least two reference people.

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.

The Department of Wind and Energy Systems is one of the world’s largest centers of wind energy and energy systems research and knowledge, with a staff of more than 400 people from 37 countries working in research, innovation, research-based consulting and education. DTU Wind and Energy Systems has approximately 90 Ph.D. students. The department’s cross-disciplinary research is organized through strategic research programs that collaborate with Danish and international universities, research institutions and organizations, as well as the wind industry.

Technology for people
DTU develops technology for people. With our international elite research and study programmes, we are helping to create a better world and to solve the global challenges formulated in the UN’s 17 Sustainable Development Goals. Hans Christian Ørsted founded DTU in 1829 with a clear mission to develop and create value using science and engineering to benefit society. That mission lives on today. DTU has 13,500 students and 6,000 employees. We work in an international atmosphere and have an inclusive, evolving, and informal working environment. DTU has campuses in all parts of Denmark and in Greenland, and we collaborate with the best universities around the world.