15 non-coding-"Data-driven-Materials-Modeling" Postdoctoral positions at Aalborg University
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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
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having strong coding skills is a plus. You have documented scientific publications in the specific research area of the position, communicate clearly in English and can work both independently and in teams
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, or related areas. You need to be able to plan, conduct, transcribe, and systematically code interviews and focus groups with upper secondary students, teachers, and school leaders, and to translate
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. Qualifications requirements Appointment as Postdoc presupposes scientific qualifications at PhD–level or similar scientific qualifications. If you have not yet completed or defended your PhD degree you can provide
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industrial partners. Excellent written and spoken English. You are not expected to be a specialist in every electrolyzer technology or optimization method. Strong system-level modelling and optimization
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well as 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
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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
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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
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whether they will be assessed or not. We are conducting interviews in late-August. The interviews involve the presentation of a case on numerical flow problem. Further information Read more about our
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their environment, and how these representations support robust perception and autonomous decision-making in dynamic, non-stationary settings. The research will address how agents fuse heterogeneous sensory streams