Postdoc in Machine Learning and Optimization for Structural Health Monitoring of Offshore Energy Infrastructures - DTU Compute

DTU Compute are seeking a highly motivated and talented postdoctoral researcher to join a cross-disciplinary project focused on the development of a rapid, cost-effective, and robust structural health monitoring system for offshore energy infrastructures.
DTU Compute are seeking a highly motivated and talented postdoctoral researcher to join a cross-disciplinary project focused on the development of a rapid, cost-effective, and robust structural health monitoring system for offshore energy infrastructures.

Responsibilities and qualifications
DTU Compute are seeking a highly motivated and talented postdoctoral researcher to join a cross-disciplinary project focused on the development of a rapid, cost-effective, and robust structural health monitoring system for offshore energy infrastructures. The project, which is funded by the Villum Foundation, addresses the challenges posed by the hostile environments and remoteness of offshore structures, where current health assessment schemes are limited in scope and effectiveness. By combining physics-based models, machine learning techniques, and vibration sensor data, the successful candidate will contribute to pioneering solutions that minimize costs and data requirements while ensuring reliable health assessment across clusters of offshore structures.

You should have experience in machine learning, data-driven modeling, and/or optimization to help develop cutting-edge solutions that reduce costs and data requirements while ensuring reliable health assessments across clusters of structures. You will collaborate with experts in structural health monitoring, computational techniques, and optimization.

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 this full-time employment is 27 months.

You can read more about career paths at DTU here.
Further information
Further information may be obtained from Associate Professor Martin S. Andersen ([email protected]).

You can read more about DTU Compute at www.compute.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.

Application procedure
Your complete online application must be submitted no later than 15 November 2024 (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 Compute is a unique and internationally recognized academic environment spanning the science disciplines mathematics, statistics, computer science, and engineering. We conduct research, teaching and innovation of high international standard—producing new knowledge and technology-based solutions to societal challenges. We have a long-term involvement in applied and interdisciplinary research, big data and data science, artificial intelligence (AI), internet of things (IoT), smart and secure societies, smart manufacturing, and life science.

The Section for Scientific Computing has a strong track record of research within various branches of applied mathematics, including PDEs, inverse problems, numerical linear algebra, and optimization.

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.

Adresse:

Matematiktorvet
2800 Kgs. Lyngby