The Role: 

Collate, analyze and review fleet crash data to determine occupant injury metric, pedestrian protection performance and vehicle crashworthiness to further advance safety attributes.

Job Duties and Responsibilities

•     Construct and maintain a large database of fleet impact data compiling information from multiple sources and data types into useful outputs

•     Build and maintain an array of scripts (Python & MATLAB) for the database

•     Facilitate useful output from the database, including automation of simulation (working closely with the CAE team) enabling iterative restraint and interior design based on real world events

•     review CAE simulation and field data using (MATLAB, LS-PrePost and /or METApost)

•     Assist in setup and execution of attribute identification from images (tagging)

•     Assist in categorization of impacts based on risk of injury

•     Analysis of post-crash test data (DIAdem /MATLAB), reviewing results against expectations and predictions

•     Design and complete studies of field data to assess restraint system performance

•     Assist in the design of impact detection systems for pedestrian and occupant protection

•    Assist in co-ordination and oversight of test execution for correlation and calibration purposes

•    Support future and research projects related to occupant safety

Requirements

•     Bachelor’s degree in Mechanical or Biomechanical Engineering

•     Previous knowledge of automotive crashworthiness legislation and attributes of vehicle safety and crashworthiness is preferred

•     Engineering fundamentals in problem solving

•     Test data analysis tools e.g. (DIAdem, Python, MATLAB, Hyperworks, LS-PrePost and/or METApost)

•    Good understanding and experience of vehicle structure development for crashworthiness

•    The ability to articulate and present technical issues to audiences of either end of the spectrum regarding familiarity on crash safety and potential occupant injury.

•    Hands-on experience with vehicle crash tests, sled tests and anthropomorphic test devices

•    Experience with field data analysis for vehicle crashes

•    Excellent organization skills and self-motivation