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MA
MAGNA STEYR Fahrzeugtechnik GmbH & Co KG
2mo ago

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

Description

In this master's thesis role, you will collaborate with CFD engineers and machine learning experts to develop a model that automates data preparation for vehicle CFD simulations, significantly reducing the time spent on this critical task.

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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

Education

Currently in higher education

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

Tools & Technologies

PythonPyTorchNumPyTensorFlowBeta CAE SystemsANSA

Languages

English – Business Fluent

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
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of MAGNA STEYR Fahrzeugtechnik GmbH & Co KG and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
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