Job Description

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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