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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