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areas, could include deep learning (e.g. Long Short Term Memory - LSTM), statistical baselines (e.g. Autoregressive Integrated Moving Average - ARIMA, Kalman filters) and transformers (e.g., spatio
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, ensemble Kalman filters, and physics-informed neural networks (PINNs) enforce conservation laws while fitting observations. The key is to apply the vast amount of physical insights developed in turbulence
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-Making and Route Optimisation: Develop adaptive algorithms within a bias-aware ensemble Kalman filter framework to propose alternative flight paths dynamically. The system will aim to maximise safety and
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analysis to study the impact of navigation errors or uncertainty in closed-loop dynamics. These closed loops include state or output feedback controls, Kalman filters and reference guidance trajectory. Among
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models parameters, aiming to uncover possible predictors of upcoming seizures. The initial focus will be on classic approaches, such as Kalman Filters, followed by the consideration of hybrid approaches
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extreme or poorly documented conditions. In parallel, a reliable state of charge (SoC) estimation strategy will be implemented. It will rely in particular on the implementation of Kalman filters and AI
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ECMWF - European Centre for Medium-Range Weather Forecasts | Bonn, Nordrhein Westfalen | Germany | about 2 months ago
variational methods (4D-Var) or Ensemble Kalman Filters (EnKF); Experience of working with satellite retrievals of atmospheric composition would be an advantage; Experience with ML approaches for data
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) Mathematical Modeling, Optimization, and Simulation Classical Image Processing and Machine/Deep Learning Probalistic Sensor Data Processing ( Kalman Filter, etc.) What you can expect A dynamic work environment