Postdoc in Machine Learning and Optimization for Structural Health Monitoring of 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 (mskan@dtu.dk). 

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).

To view the full announcement and to apply please click on the ‘Apply’ button above.

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