CAE (Computer Aided Engineering) Intern

The Data Analyst/CAE Engineering Internship is designed to offer a technically focused, hands-on learning experience within the development of eDrive systems. The intern will be exposed to the complete Data Analysis and CAE processes, with a strong emphasis on practical engineering tasks.

Key responsibilities

·         Data processing & analysis - extracting, cleaning, and organizing big sets of data

·         Developing scripts (e.g. in Python or MATLAB) to automate repetitive data processing tasks and reporting

·         Implementing ML algorithms to identify patterns in large sets of simulation data and predict component behaviour

·         Assisting senior CAE engineers in setting up and running structural, NVH or other simulations for iDMs

·         Preparing 3D models (meshing, cleaning geometry) and defining boundary conditions under supervision

·         Creating technical reports and visualizations to summarize simulation findings

·         Preparation in design reviews and inspections of mechanical parts and assemblies

·         Assisting in conducting mechanical testing, including data collection and initial analysis

·         Help investigate component issues and support root cause analysis activities

·         Follow engineering processes and quality standards throughout assigned tasks

What we are looking for

·         Student of Mechanical or Mechatronics Engineering, IT, Automotive Engineering or a related field

·         Availability of minimum 2,5-3 days per a week

·         Very good written and spoken English is required

·         Willingness to learn new tools and processes

·         Self-directed / self-motivated personality

Preferred Requirements

·         Knowledge of Python or MATLAB for data manipulation and automation

·         Basic experience with tools like Ansys, Abaqus, Altair HyperWorks or Nastran is a plus

·         Having other programming skills will be beneficial

·         Ability to interpret complex data sets and draw logical conclusions

·         Good written and verbal communication skills

·         MS Office (Excel / Word / PowerPoint / Copilot)

Internal Use Only: Indirect Hourly

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