19 kalman-filter positions

Postdoc in Data Driven Modeling for Monitoring Wind Turbine Bering Operation (2024-221-102697)

parameters. The model is used for condition monitoring and fault detection using methods focusing on statistical methods using residual generation and Kalman filtering. Qualifications: Phd and master's degree

Aeroelastic Reduced-Order-Model for Real-Time Data Assimilation.

can be deduced from experimental observations. Bayesian data-assimilation techniques, such as Kalman filters [5] or particle filters are of particular interest. These methods would allow

Meteorology Research Assistant-Didlake

of tropical cyclone evolution using the Penn State University ensemble Kalman filter (PSU WRF-EnKF) system with data assimilated from satellite radiance observations. Responsibilities will include producing WRF

PhD Stipend in Online aging models of Lithium Batteries based on physical- aware AI

should demonstrate research/educational background in preferably all of the following: Electrochemical physical modelling of LIB(P2D/SPM) Parameter identification State estimation(e.g. Kalman Filter

Postdoctoral research position in Battery Modeling and State Estimation with Emphasis on State-of-Health and Prediction of Remaining Lifetime

modeling. State estimation will employ control engineering methods, such as Kalman filters, and may alternatively explore cutting-edge machine learning techniques. The development of models and estimation

Associate Scientist

science, or related fields. Knowledge and experience in the following is preferred: Flight control algorithms Extended Kalman filter algorithms Optimization, motion planning algorithms UAV simulation, operation and

Research Fellow (Multi Modal based SLAM)

(Factor Graph, Gradient-free Optimization, Kalman filter), and multi-sensor fusion algorithm Strong skills in C++, Matlab, Linux, and experience with ROS, and code management tools (git) Experience with

PhD position (f_m_x) in Ocean Data Assimilation of Remote Sensing Data

and by applying Kalman-Filter based data assimilation techniques to satellite data. Your responsibilities: Numerical and statistical modelling of large scale Earth systems, e.g., ocean, ionosphere

CEGE - Research Scientist

sensors, sensor fusion, and estimation (e.g., Kalman Filtering, Recursive/Non-Recursive Bayesian Filtering Schemes, Particle Filters) in GNSS-denied environments; attends conferences and seminars; generates

Postdoctoral Research Associate

will join our interdisciplinary research team to develop an Ensemble Kalman Filter (EnKF)-based coupled data assimilation capacity for the DOE’s Energy Exascale Earth System Model (E3SM) and the regional