Uncertainty Quantification and Verification Planning for Space Systems

About the role

The NASA Postdoctoral Program (NPP) offers unique research opportunities to highly-talented scientists to engage in ongoing NASA research projects at a NASA Center, NASA Headquarters, or at a NASA-affiliated research institute. These one- to three-year fellowships are competitive and are designed to advance NASA’s missions in space science, Earth science, aeronautics, space operations, exploration systems, and astrobiology.

Responsibilities

This research lies at the intersection of systems engineering, uncertainty quantification, reliability analysis, computational modeling, goal-based experimental design, and statistical analysis. Primary areas of interest are in building, validating, and calibrating models that represent engineering systems and engineering processes, science traceability of engineering activities, decision-making under uncertainty for systems engineering decisions, uncertainty-informed digital twins, quantifying margins and sensitivities for measurement and test metrics, and providing recommendations for the scoping and planning of analysis and test activities over the development cycle. The candidate will be a member of the Uncertainty Quantification and Statistical Analysis Group at JPL.

Requirements

• A PhD degree in aerospace engineering, or related field
• Experience programming in the Unix/Linux environment using Python, Java, C/C++, or Julia
• Experience with algorithms, numerical techniques, and computational methods, specifically for uncertainty quantification, Bayesian statistics, and multivariate optimization
• Excellent writing and communication skills
• Prior space systems engineering and V&V experience, including planning and execution of instrument/spacecraft tests is preferred

Qualifications

• Citizenship: U.S. Citizen Only
• Degree: Doctoral Degree

Skills

The selected candidate must have:

• Experience programming in the Unix/Linux environment using Python, Java, C/C++, or Julia
• Experience with algorithms, numerical techniques, and computational methods, specifically for uncertainty quantification, Bayesian statistics, and multivariate optimization

Benefits

Not specified

Pay

Not specified

Schedule

Not specified

Advisors

• Amy Braverman

Contact Information

Email: npp@orau.org