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In this position, you will be part of the research environment within the Solid and Computational Mechanics research group at the Department of Materials and Production in Aalborg. The group works with
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addressing research questions relevant to data science, biology, and agroecology the aim is to improve data flows and create knowledge graphs and future visions of landscapes. The tasks will encompass
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initiative, created with the ambition to lead the formalisation of key areas of computing in a universal repository of knowledge and tools verified by proof assistants. Our vision is to unlock the combined
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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
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role in developing and implementing novel computational models within a boundary element framework, coupling the BEM with models for flow separation, viscous drag and cavitation. There is room to shape
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interdisciplinary project funded by the Danish Energy Technology Development and Demonstration Programme (EUDP) and has a strong focus towards commercialization the resulting battery. Your competencies Appointment as
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Are you a Star Talent? Open postdoc positions at the Faculty of Medicine
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, including vision, LiDAR, inertial measurements, and radio signals, to maintain coherent spatial awareness and act reliably under uncertainty. A particular focus will be placed on learning and decision-making
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Profile Recognised Researcher (R2) Application Deadline 9 Aug 2026 - 21:59 (UTC) Country Denmark Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme
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will gain: Strong expertise in statistical and computational methods for privacy Experience working with unique, real-world health data Collaboration with an interdisciplinary research team across data