Uncertainty Quantification Jobs (NOW HIRING)

... uncertainty quantification and reliability assessment in AI-driven scientific reasoning • Serve as a domain expert within the field by articulating to team members emerging approaches and ...

... • Uncertainty quantification (UQ) and model reliability, including approaches such as calibrated probabilistic prediction, Bayesian/ensemble methods. • Development and use of atomic-scale ...

Feature engineering, uncertainty quantification and calibration, hierarchical/segmented forecasting where appropriate. * Partner with operations, supply chain, inventory, finance, and marketing ...

Support verification, validation, and uncertainty quantification activities for plant scale thermal-hydraulic analysis tools. * Develop and execute code assessment plans, including validation ...

Conducting sensitivity analyses, error analysis, and uncertainty quantification to assess model robustness. * Establishing data quality standards, validation procedures, and governance practices to ...

Surrogate modeling and Uncertainty Quantification (a plus): Gaussian processes, polynomial chaos, sparse grids, variance reduction. Applied Mathematics (any of the following is a plus) * Optimization ...

Uncertainty Quantification: Use advanced statistical frameworks (Bayesian inference, Monte Carlo simulations) to analyze experimental data, and to quantify the uncertainty in service-life predictions ...

A research scientist is sought to support a project on life-cycle assessment and uncertainty quantification for forward-looking building design. Functional recovery design has emerged as a new design ...

Conduct uncertainty quantification, sensitivity analyses, and model calibration to assess prediction robustness. * Collaborate with multidisciplinary teams to interpret results, communicate model ...

Surrogate modeling and Uncertainty Quantification (a plus): Gaussian processes, polynomial chaos, sparse grids, variance reduction. Applied Mathematics (any of the following is a plus) * Optimization ...

Demonstrated experience using computation tools such as COMSOL, Python/Matlab/R. • Uncertainty Quantification: Demonstrated ability to apply statistical methods to quantify the uncertainty of ...

Computationally testing models with respect to accuracy and uncertainty quantification. * Developing software to implement the goals stated above (most likely in Python or R). * Disseminating results ...

These domains expose deep computational bottlenecks in sampling, probabilistic inference, optimization, simulation, uncertainty quantification, inverse design, planning, and control. Sygaldry is ...

Surrogate modeling and Uncertainty Quantification (a plus): Gaussian processes, polynomial chaos, sparse grids, variance reduction. Applied Mathematics (any of the following is a plus) * Optimization ...

Support verification, validation, and uncertainty quantification activities for plant scale thermal-hydraulic analysis tools. * Develop and execute code assessment plans, including validation ...

Prototype and evaluate innovative approaches for uncertainty quantification and reliability assessment in AI-driven scientific reasoning * Serve as a domain expert within the field by articulating to ...

Champion V&V, runtime assurance, uncertainty quantification, and safety cases for high-consequence space systems * External Engagement: Represent Blue Origin with customers, partners, and academia

Develop and apply techniques for uncertainty quantification, active learning, and inverse problems (e.g., geometry and shape optimization) * Ensure all AI systems are rigorously validated and vetted ...

Apply advanced statistical methods (such as regression modeling, Bayesian inference, surrogate/metamodeling, sensitivity analysis, uncertainty quantification, and beyond) to simulation output to ...

Prototype and evaluate innovative approaches for uncertainty quantification and reliability assessment in AI-driven scientific reasoning * Serve as a domain expert within the field by articulating to ...