ENGINEER - RESEARCH ENGINEER - Computational Musculoskeletal Biomechanics at Southwest Research Institute

Who We Are: We are a multidisciplinary team that collaboratively solves client driven problems primarily related to the human musculoskeletal system. We combine high fidelity mutilscale computational modeling with uncertainty quantification and probabilistic analysis to understand injury risk and performance. Objectives of this Role: Join our team to conduct innovative research for a wide range of commercial and military biomechanics and human performance applications utilizing advanced computational and experimental techniques. Conduct research and development in computational biomechanics and perform computer modeling and analysis of biomechanical structures subject to impact or other external loadings Work within a highly collaborative environment on projects related to high fidelity computational models of the human body, multi-rigid body dynamics, markerless biomechanics, and human performance, among others. Daily and Monthly Responsibilities: Use advanced computational and experimental techniques and facilities to address a wide range of biomechanics, injury analysis, and human performance applications. Apply advanced probabilistic mechanics and reliability methods to investigate how uncertainties associated with biological systems affect predictions of musculoskeletal performance and functionality. Interact and engage with commercial and government clients to develop solutions that fit their requirements. Write and present reports and technical papers, and manage the technical and financial performance of projects. Participate in and eventually lead individual and collaborative research projects as well as develop, promote, and write proposals for research and development programs. Requirements: Requires a Masters degree or a PhD in Mechanical Engineering, Biomedical Engineering, or Engineering Mechanics if associated with the engineering program. 0-5 years: Experience in uncertainty quantification or probabilistic analysis, experimental methods and data collection, advanced data analysis methods, machine learning, and artificial intelligence. Must have familiarity with developing and performing complex numerical analyses of complex structures. Must have knowledge of commercial and open source software (ABAQUS, LSDYNA, FEBio, TrueGrid, Python, Matlab). Excellent verbal and written communication skills are required. Familiarity in developing non-linear finite element models of musculoskeletal structures. Must have excellent problem-solving skills, be self-motivated, and be driven to solve challenging problems in a team environment as well as individually. A valid/clear driver's license is required.