Southwest Research Institute RESEARCH ENGINEER - PROBABILISTIC ANALYSIS in San Antonio, Texas
Use advanced computational techniques and tools to model data and perform probabilistic analyses of structural/mechanical components, systems, and processes; develop and apply methodology, algorithms, models, and software for probabilistic analysis and uncertainty quantification; support ongoing software development and maintenance activities for commercial tools; work under the guidance of experienced staff and gradually become involved in developing proposals for individual and collaborative research projects; interact with commercial and government clients; write and present reports and technical papers; manage the technical and financial performance of projects.
Requires a MS or PhD degree in Mechanical Engineering, Civil Engineering, Engineering Mechanics or a related field with at least a 3.25 GPA. MS degree requires 2 – 7 years of relevant, related experience. PhD requires 0 – 2 years of relevant, related experience. Must have experience developing and applying advanced statistical uncertainty models for the probabilistic analysis of engineering problems; must have experience with software development (Python, Fortran, R, C++, or others); must have excellent verbal and written communication skills; must possess the ability to take ownership of problems and work both independently and in a team environment; knowledge of surrogate modeling (especially Gaussian process modeling), computational reliability analysis, Bayesian inference, data science, machine learning, and/or model calibration is desired; experience in the following areas would be an asset in this position: finite element analysis techniques and tools, fatigue and fracture mechanics, composite materials, computational fluid dynamics, manufacturing process control, nonlinear optimization, and material science. Must be able to travel. A valid/clear driver's license is required.
Job code: 18-01031
Job Locations: San Antonio, Texas