About this role
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-reviewed journals and to present your work at conferences, workshops and meetings with partners. You will collaborate with researchers across the department and, where relevant, with industrial or public stakeholders. The position may include a limited amount of teaching and supervision of students at bachelor’s and master’s level, for example in the form of project supervision or involvement in courses related to your expertise. Depending on project needs, you may also take part in preparing applications for external research funding and in supporting the development of new research directions at the department. Your competencies You hold a PhD degree in Computer Science, Artificial Intelligence, Electrical Engineering, or a closely related field or can document equivalent scientific qualifications at PhD level. Your research profile is clearly connected to Deep Learning and Computer Vision, and you can demonstrate experience with semantic segmentation, object detection, and generative AI models. You have solid skills in programming in Python and the modern AI ecosystem, including PyTorch, HuggingFace, and ONNX and you are comfortable working systematically with complex technical problems. Experience with industrial collaboration and the optimization of models for embedded systems, such as NVIDIA Jetson and TensorRT will be an advantage, as will a documented ability to publish in international journals. You communicate clearly in English, both orally and in writing, and you can present your work to both specialists and non-specialists. If you already speak Danish or would like to learn it, this will be an asset in everyday life at the university and in Danish society, and language courses are available locally. You are motivated by working in an international academic environment, where you collaborate closely with colleagues, share knowledge and contribute actively to joint projects, while also managing your own tasks in a structured and responsible way. You are curious, open to feedback and able to move projects forward from idea to concrete results within agreed deadlines. Who we are AAU Energy is a research department at Aalborg University dedicated to the development of clean and sustainable energy systems. Our activities cover electrical, thermal and mechatronic energy technologies, and we work closely with industrial partners and other academic environments to address real-world energy challenges. The department is located in both Aalborg and Esbjerg, and this position is based at the Esbjerg campus. AAU Energy employs around 250 staff members at different career stages and from a broad range of national backgrounds. This creates an international and interdisciplinary research environment with many opportunities for collaboration and knowledge sharing. English is widely used as the working language in research and teaching, which makes it straightforward for international colleagues to integrate. We offer access to advanced laboratory and workshop facilities and an environment where you can develop your academic profile through research, teaching and collaboration with both Danish and international external partners. As a workplace we value a collegial and inclusive culture with room for professional discussion, initiative and mutual support in everyday work. New colleagues, whether they come from elsewhere in Denmark or from abroad, can draw on the university’s support services related to relocation, housing and practical matters. Aalborg University offers general onboarding support to all new employees, as well as dedicated support for international staff through its International Staff Unit (ISU). You can read more about relocation support and services here: https://www.en.hr.aau.dk/relocation-support Aalborg University also offers Danish language courses to support international employees in settling into both the workplace and Danish society. International employees typically can attend Danish language courses during