Job Description
At AAU Energy, a position as Postdoc in AI and Deep Learning for Radar-Based Non-Destructive Testing is open for appointment from 01.10.2026 or as soon as possible hereafter. The position is available for a period of 2 years (24 months) and is based at Aalborg University’s campus in Esbjerg.
You will be part of the research group AI for Energy, which is placed in the Esbjerg Energy Section. The position is closely connected to our activities within automated quality assurance and structural health monitoring of wind energy components and your work will contribute to the development of new knowledge within this field.
Your work tasks
In this position you will conduct research within Computer Vision and Deep Learning, with a particular focus on the development of an AI-powered framework for the detection, segmentation, and classification of wrinkles in composite wind turbine blades using radar imaging. You will be involved in both independent and collaborative research activities in close interaction with colleagues in the group and external partners in Denmark and abroad.
You will work with the design and execution of research studies, the analysis and interpretation of data, and the dissemination of results in high-quality scientific outlets. Your daily work will typically involve a combination of independent research and collaboration in project teams, where you help develop concepts, methods and solutions that are relevant for the energy sector.
In particular, you will be involved in the POPCORN project, where you will implement state-of-the-art semantic segmentation and instance segmentation models, utilize Diffusion Models for synthetic data augmentation, and integrate Vision-Language Models (VLMs) for automated QA report generation. You will work closely with industrial partners Becster and Vestas, specifically targeting the estimation of wrinkle size, depth, and taxonomy.
You will be expected to contribute to scientific publications in international peer-r
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