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Master's Thesis „Machine Learning Models for Data Preparation in Automotive CFD-Simulation Process“(m/w/x)
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
- English – Business 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
Not a perfect match?
- MAGNA STEYR Fahrzeugtechnik GmbH & Co KGPart-timeInternshipOn-siteGrazfrom 450 / month
- Easelink
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Master's Thesis „Machine Learning Models for Data Preparation in Automotive CFD-Simulation Process“(m/w/x)
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
- English – Business 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
About the Company
MAGNA STEYR Fahrzeugtechnik GmbH & Co KG
Industry
Automotive
Description
Das Unternehmen entwickelt und produziert Bauteile und Systeme aus metallischen Werkstoffen für die Luft- und Raumfahrt.
Not a perfect match?
- MAGNA STEYR Fahrzeugtechnik GmbH & Co KG
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