Job Title

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)

CAE (computer Aided Engineering) Intern