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Intern Virtual techniques (f/m/d) Intern Virtual techniques (f/m/d) Intern Virtual techniques (f/m/d)

CompanyVolkswagen AG
LocationWolfsburg
Work ModeOn Site
PostedFebruary 18, 2026
Internship Information
Core Responsibilities
The role involves supporting the Human Body Modeling Team by processing experimentally obtained data for the validation of human body models, including analyzing kinematics, force, and acceleration profiles from existing tests. Responsibilities also include transferring experimental boundary conditions into the virtual validation environment using explicit finite element analysis with Virtual Performance Solution (Pamcrash) software.
Internship Type
full time
Company Size
106945
Visa Sponsorship
No
Language
English
Working Hours
40 hours
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About The Company
The Volkswagen Group with its headquarters in Wolfsburg is one of the world’s leading automobile manufacturers and the largest carmaker in Europe. The Group is made up of ten brands from seven European countries: Volkswagen, Volkswagen Nutzfahrzeuge, ŠKODA, SEAT, CUPRA, Audi, Lamborghini, Bentley, Porsche and Ducati. Our group sells vehicles in 153 countries and operates 114 production plants worldwide. Each working day, around 675,000 employees worldwide produce cars, are involved in vehicle-related services or work in the other fields of business. Our goal is to make mobility sustainable for us and for future generations. Our promise: With electric drive, digital networking and autonomous driving, we make the automobile clean, quiet, intelligent and safe. At the same time, our core product becomes even more emotional and offers a completely new driving experience. It is also becoming part of the solution when it comes to climate and environmental protection. In this way, the car can continue to be a cornerstone of contemporary, individual and affordable mobility in the future. #Shapingmobility Imprint & Legal: http://vw.de/legal-notice DAT: http://vw.de/dat
About the Role

 

 

Work Environment

Within the sub‑department “Virtual Engineering Solutions” of Volkswagen Group Innovation, virtual methods from various disciplines are further developed for the design and optimization of current and future vehicle generations. The goal is to hand over these improved tools to the respective development departments of the brands. In the “Human Body Modeling Team,” we advance finite element (FE) human body models, with a particular focus on improving their biofidelity in order to address complex questions in the field of vehicle safety. The internship assignment will focus on “processing experimental data and its application in finite element human body model simulations.” As part of your internship, you will support us in this area of work. We look forward to receiving your application.

Possible tasks within this role

  • Further processing of experimentally obtained data for the validation of human body models
  • Analysis of data from existing tests, such as kinematics from video recordings, force and acceleration profiles, etc.
  • Transfer of the experimental boundary conditions into the virtual validation environment by performing an explicit finite element analysis using the software Virtual Performance Solution (Pamcrash)
 

Qualification requirements

  • Students of mechanical engineering, physics, biomechanics, mechatronics or similar
  • Experience in programming with Matlab and Python
  • Basic knowledge of statistical data analysis
  • Basic knowledge of the finite element method

The following documents must be submitted with your application

  • Cover letter and Curriculum Vitae
  • Certificate certificate of enrolment
  • Current transcript of records
  • In the case of a compulsory internship, an additional certificate from the university
  • Work permit for non-EU citizens

Keywords

Simulation technology, Material models, Data preparation

 

Contact person for this posting: Hartmut Fromm

Key Skills
MatlabPythonStatistical Data AnalysisFinite Element MethodFinite Element AnalysisData ProcessingSimulation
Categories
EngineeringScience & ResearchData & Analytics