Crash Simulation Engineer

Summary

Bowhead is seeking a Crash Simulation Engineer to support the National Highway Traffic Safety Administration contract. The role develops, evaluates, and applies finite element and lumped parameter models for vehicle crash safety and human injury research, while providing technical leadership, analysis, reporting, and client recommendations.

Responsibilities

• Plan, design, coordinate and control the progress of project work to meet client objectives
• Lead technical efforts and keep up to date with current industry best practices
• Create sled FE models, position various crash test dummies and human FE models, carry out vehicle impacts and perform injury analysis
• Perform post simulation data analysis such as injury analysis per FMVSS/NCAP regulations and statistical techniques
• Provide recommendations to client regarding planning, analysis and reporting efforts
• Develop technical reports and presentations to communicate complex research in a clear and comprehensive manner

Skills

• MS in engineering
• Mechanical engineering preferred
• Technical areas of expertise include engineering dynamics, materials engineering, mechanical engineering, biomechanical engineering and/or structural engineering
• Experience in the evaluation of laboratory test results from impact testing including vehicles, vehicle components, anthropomorphic dummies, and/or post mortem human subjects
• Experience with running vehicle crash simulations using LS-DYNA (2+ years of experience)
• Demonstrated experience in performing post-crash simulation injury analysis such as HIC, BrIC, Nij, femur/tibia forces etc
• Experience with Design of Experiments, optimization, and statistical analysis
• Knowledge of Federal Motor Vehicle Safety Standards (FMVSS)
• Demonstrated experience with optimization programs such as LS-OPT and 3D modeling programs such as ANSA, META, Oasys Primer etc
• Familiarity with crash investigation reports and crash reconstruction methods
• Good written and verbal communication skills as evidenced by technical publications / conference presentations
• Demonstrated experience in laboratory measurement techniques and knowledge of the laws of physics, continuum mechanics, and statistical data treatments
• Must be able to obtain a Public Trust (NAC) level clearance
• Python Programming
• Car crash modeling and simulation
• Crash data analysis and accident reconstruction
• Understanding of biomechanical structures (human body response and tolerance)
• LS-OPT experience, Design of Experiments (DOE), optimization

Qualifications

Must Haves

• MS in engineering
• mechanical engineering preferred
• Technical areas of expertise include engineering dynamics, materials engineering, mechanical engineering, biomechanical engineering and/or structural engineering
• Experience in the evaluation of laboratory test results from impact testing including vehicles, vehicle components, anthropomorphic dummies, and/or post mortem human subjects
• Experience with running vehicle crash simulations using LS-DYNA (2+ years of experience)
• Demonstrated experience in performing post-crash simulation injury analysis such as HIC, BrIC, Nij, femur/tibia forces etc
• Experience with Design of Experiments, optimization, and statistical analysis
• Knowledge of Federal Motor Vehicle Safety Standards (FMVSS)
• Demonstrated experience with optimization programs such as LS-OPT and 3D modeling programs such as ANSA, META, Oasys Primer etc
• Familiarity with crash investigation reports and crash reconstruction methods
• Good written and verbal communication skills as evidenced by technical publications / conference presentations
• Demonstrated experience in laboratory measurement techniques and knowledge of the laws of physics, continuum mechanics, and statistical data treatments
• Must be able to obtain a Public Trust (NAC) level clearance

Nice to Haves

• Python Programming
• Car crash modeling and simulation
• Crash data analysis and accident reconstruction
• Understanding of biomechanical structures (human body response and tolerance)
• LS-OPT experience, Design of Experiments (DOE), optimization