Volkswagen - Intern - Course preparation and analysis of experimental data for human model validation

Deadline: As soon as possible

Internships

Companies

Location(s)

  • Germany
Wolfsburg

Overview

Specifically, you will deal with the further processing of experimentally obtained data for the validation of our active human body models. In order to perform this task, you will first analyse data from existing experiments, such as kinematics from video recordings, force and acceleration curves etc.. In the next step you will analyse the data in more detail applying statistical methods.

Details

Brief Role Description

In the "Virtual Engineering Solutions" sub-department within Volkswagen Group Innovation, virtual methods from various disciplines are further developed for the design and optimisation of current and future vehicle generations. The aim is to transfer the enhanced tools to the respective development departments of the brands. In the "Human Body Modeling Team", we further develop finite element (FE) human body models with the major focus on improving their biofidelity, among other aspects, in order to be able to answer complex questions in the field of vehicle safety. As part of your internship you will support us in this working environment.

Volkswagen - that's why

We want to revolutionize and shape the mobility of tomorrow sustainably. For this purpose, we are looking for talents who are willing to break completely new ground with us and are not afraid to make mistakes. We are looking for personalities who want to achieve something extraordinary. And talents who believe in the innovative power of big ideas. Are you in?

Opportunity is About


Eligibility

Candidates should be from:


Description of Ideal Candidate

Qualification requirements

  • Students of mechanical engineering, physics, biomechanics, mechatronics or comparable courses of study

  • Experience in programming with Matlab and Python

  • Knowlwdge of statistical data analysis

  • Basic knowledge of the finite element method


Dates

Deadline: As soon as possible


Cost/funding for participants

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