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MAMAGNA STEYR Fahrzeugtechnik GmbH & Co KG

Master's Thesis „Machine Learning Models for Data Preparation in Automotive CFD-Simulation Process“(m/w/x)

Graz
from 700 / month
Part-timeInternshipOn-site
AI/ML
Data Science

ML model development for automotive CFD data preparation, including ANSA database creation at aerospace component manufacturer. Good Python coding and machine learning libraries understanding essential. Paid thesis opportunity.

Requirements

  • Ongoing technical study in mechanical engineering, automotive engineering, computer science, or similar
  • Good understanding of Python coding and machine learning libraries
  • Basic knowledge and experience in numerics and CFD
  • Basics in Beta CAE Systems software package ANSA
  • Strong interest in applying machine learning to industry
  • High level of helpfulness and excellent communication skills

Tasks

  • Conduct a literature review of previous works
  • Define a schematic procedure for data preparation
  • Prepare a training database in ANSA from historical or public data
  • Research various neural network architectures for application
  • Create and train a model using the prepared dataset
  • Optimize the model setup as needed
  • Document the process and propose additional improvements

Education

  • Currently in higher education

Languages

  • EnglishBusiness Fluent

Tools & Technologies

  • Python
  • PyTorch
  • NumPy
  • TensorFlow
  • Beta CAE Systems
  • ANSA

Benefits

Competitive Pay

  • Monthly gross compensation

Other Benefits

  • Mobility offers
  • Employee benefits
  • On-site consulting services

Parking & Commuter Benefits

  • Parking spaces

Team Events

  • Sport events
  • Hiking activities

Free or Subsidized Food

  • Canteen

Snacks & Drinks

  • Café

Healthcare & Fitness

  • Holistic health programs

Sustainability Focus

  • Sustainability programs
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