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Postdoctoral Position in Probabilistic Machine Learning for Spatio-Temporal Data Modelling A postdoctoral position is available at the Department of Computer Science, Aalborg University Copenhagen
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(please state whether you apply for a research assistant or postdoc position), and intentions and visions for the position Curriculum Vitae (CV) Diplomas (master's degree diploma and PhD diploma). If you
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advanced modelling, data analysis, and algorithmic development. Your tasks will support our core research focus of mathematical and computational approaches to design and implement solution algorithms, with
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to support decision-making by integrating physical models and sensor data. These methods are validated through industrial case studies, with a particular emphasis on critical infrastructures where complexity
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are groundbreaking for battery management and will make substantial advances in online explainable data-driven prediction for time series data. The specific tasks of this postdoc position will be to use active
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. The topic of this Postdoc position is the development of data-driven methods to estimate river streamflowusingsatellitealtimetry. Particularly, the Postdoc willexplore hybrid deep learning models
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At the Faculty of Engineering and Science, AAU Energy, a position as Postdoc in HYTEC or TEPE with experience in CFD modelling, is open for appointment from 1. December 2025 or soon hereafter
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, mechanical and durability testing, and integration with advanced machine learning models. The postdoc will collaborate closely with CEBE’s parallel work packages. Experimental and analytical data generated in
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. The Postdoc will conduct research on methods to enhance the performance, safety, and lifetime of lithium-ion batteries by integrating physics-based modeling with data-driven approaches. The work will include
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Efficiency. The postdocs will be positioned in the section for Applied Power Electronic Systems. The research area will be within the modeling and design optimization of power converters based on digital twin