Uncertainty Quantification Jobs (NOW HIRING)

Uncertainty Quantification * Exploratory Data Analysis * Pattern Recognition Soft Skills * Presentation Skills * Collaboration Industry Keywords * Autonomous Driving * Safety-Critical Systems

Support verification, validation, and uncertainty quantification activities for plant scale thermal-hydraulic analysis tools. * Perform system-level steady-state and transient thermal-hydraulic ...

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

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

Design rigorous validation and evaluation methodologies, including ground-truth strategies, uncertainty quantification, and error analysis tied to real-world impact * Prototype and refine ML modeling ...

Strong statistical foundations, including calibration, uncertainty quantification, identifiability, and model evaluation. * Experience designing evaluations for problems without established ...

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

Strong foundation in applied mathematics, uncertainty quantification, statistical inference, signal processing, and data analysis. * Demonstrated experience applying mathematical or computational ...

The Department of Statistics at Rice University seeks a Postdoctoral Research Associate to conduct research in statistical learning, with a particular focus on uncertainty quantification, conformal ...

Strong statistical foundations, including calibration, uncertainty quantification, identifiability, and model evaluation. * Experience designing evaluations for problems without established ...

... uncertainty-quantification, and model-selection methods; collaborate with experimental and quantitative investigators; and contribute to peer-reviewed publications, scientific presentations, progress ...

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 ...

Uncertainty Quantification: Implement rigorous uncertainty quantification frameworks (Bayesian deep learning, ensemble methods, probabilistic surrogate models) to provide decision-makers with ...

Perform model calibration, verification, validation, sensitivity analysis, and uncertainty quantification to build scientific confidence in computational recommendations. * Translate computational ...

Perform model calibration, verification, validation, sensitivity analysis, and uncertainty quantification to build scientific confidence in computational recommendations. * Translate computational ...

Uncertainty Quantification: Implement rigorous uncertainty quantification frameworks (Bayesian deep learning, ensemble methods, probabilistic surrogate models) to provide decision-makers with ...

Strong foundation in applied mathematics, uncertainty quantification, statistical inference, signal processing, and data analysis. Demonstrated experience applying mathematical or computational ...

Direct a team of researchers and establish rigorous standards for risk modeling, uncertainty quantification, and decision-making. * Develop predictive models for equipment damage, vegetation failure ...

Direct a team of researchers and establish rigorous standards for risk modeling, uncertainty quantification, and decision-making. * Develop predictive models for equipment damage, vegetation failure ...

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