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, “Generative diffusion models for atmospheric data assimilation” (f/m/d) The position is offered for three years with a start date as soon as possible. The salary is according to class EG 13 TV-L. The fixed-term
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Description The overarching mission is to conduct research combining machine learning, data assimilation, and physical modeling to enhance short-term (days/weeks) forecasts of Arctic sea ice conditions. The
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agroecosystem model simulations. The successful candidate will play a key role in developing robust landscape-scale digital twins and advancing data assimilation techniques for agricultural and environmental
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digital twins and advancing data assimilation techniques for agricultural and environmental applications. You will be part of a dynamic research team applying advanced remote sensing and simulation methods
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modelling techniques and the embedding of such models within data assimilation frameworks to enable their self-correction. During this project, you will develop expertise in machine learning-based reduced
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-based optimization, enabling autonomous measurement campaigns and real-time data assimilation. This research combines fluid mechanics, artificial intelligence, and robotics to establish the foundation
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 27 days ago
. This involves theory but also the integration of observational information into models through data assimilation and model inversion. In this domain as in many fields of applied science, researchers face high
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this project, UAVs will be significantly improved for monitoring, by design enhancement and assimilation of edge solutions in order to deliver the next generation of inspection and maintenance. A novel Twin
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4‑year PhD position in the area of machine learning and computer simulations. The focus of the PhD project will lie on developing machine learning models for clustering, classification, regression and
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- data assimilation towards experimental measurements under consideration of uncertainties - utilization of Explainable AI techniques to enable novel scientific discoveries - implementation of your machine