We have developed a model-based engineering decision support solution that provides the integrated analyses required to conduct engineering risk management. This support solution digitizes RAMS (Reliability, Availability, Maintainability, Safety) and CBM (Condition-Based Maintenance) analysis to optimize the design and sustainment of complex, mission / safety-critical systems.
Projects / tasks
Development of a software solution to monitor / analyze operational data required for system health assessment for sustainment (maintenance) optimization.
Strong mathematical background, Python, Machine Learning and/or Data Science experience, Java
Intern interpersonal qualities
Communication skills are important, rapid knowledge acquisition / application capability, preferably 4th year students that could transition to FTE upon completion of internship.