CAE (Computer Aided Engineering) Intern

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 25-3 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)

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