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Description Overview: We are seeking a Postdoctoral Research Associate who will focus on creating innovative uncertainty quantification and visualization algorithms that enable trusted visual representation and
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data analysis. Make advances in one or more of: multimodal data fusion/joint inference; uncertainty quantification with realistic noise/measurement error; complex physics- and artifact-aware forward
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 7 hours ago
configurations. The software can assimilate large datasets and perform adjoint computations, inverse modeling, and uncertainty quantification. It has enabled breakthrough scientific discoveries and supported
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application: Knowledge in kernel-based learning and uncertainty quantification is a plus. What you will do Perform research Publish in peer-reviewed international journals and conferences Support Ph.D
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networks, risk analysis or uncertainty quantification (preferred). Knowledge of data science in general as well as practical experience with conducting data science analyses with good programming skills
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linear fractional representations; Model identification, validation and uncertainty quantification; Set up the performance and stability analysis frameworks to verify the DFAOCS performance and stability
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strengthen your application: Knowledge in kernel-based learning and uncertainty quantification is a plus. What you will do Perform research Publish in peer-reviewed international journals and conferences
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, Uncertainty quantification, Approximation Theory, Applied Probability and Bayesian statistics, Optimal Control and Dynamic Programming. Appointment, salary, and benefits. The appointment period is two years
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on either uncertainty quantification or how uncertainty should be expressed to users. https://unit.aist.go.jp/deihrd07/keiyaku_koubo/2025-airc_0043.html [Work content and job description] ・Develop uncertainty
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 7 hours ago
model benchmarking, uncertainty quantification, value of information analyses and delivery of modeling results to guide critical applications and drive innovation and prioritization in Earth Observation