Bosch Group
PhD - Machine Learning-based Surrogate Modeling for Computationally Efficient Multiphysics Simulation(m/w/x)
Full-timeWith HomeofficeNot specified
Renningen
New Job?Nejo!
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BO
Bosch GroupMaster Thesis Neural Network-Based Surrogate Models for EHL Contact Simulations(m/w/x)
Renningen
Full-timeInternshipWith Home Office
AI/ML
Data Science
Description
In this role, you will work with a dynamic team to enhance simulation tools using advanced machine learning techniques. Your day-to-day responsibilities will include developing algorithms, analyzing data, and creating surrogate models to improve efficiency in real-world applications.
Let AI find the perfect jobs for you!
Upload your CV and Nejo AI will find matching job offers for you.
Requirements
- •Master's degree in Engineering, Computer Science, Applied Mathematics, or comparable field
- •Proficiency in programming languages, particularly Python
- •Strong background in AI, Machine Learning, and optimization methods
- •Experience with PyTorch and/or TensorFlow
- •Self-starter with effective independent and team working skills
- •Structured and organized approach to research
- •Excellent analytical and critical thinking skills
- •Passion for Machine Learning and programming
- •Problem-solving mindset
- •Very good in German or English
Education
Master's degree
Tasks
- •Collaborate with researchers to develop simulation tools
- •Enhance models and methods for simulations
- •Apply advanced Machine Learning techniques
- •Develop novel algorithms to improve simulation performance
- •Conduct analysis of simulation output datasets
- •Extract meaningful information from datasets
- •Train and validate algorithms using simulation data
- •Generate robust surrogate models
- •Test and demonstrate efficiency improvements in design
Tools & Technologies
PythonPyTorchTensorFlow
Languages
German – Business Fluent
English – Business Fluent
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Bosch Group 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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BO
Bosch GroupMaster Thesis Neural Network-Based Surrogate Models for EHL Contact Simulations(m/w/x)
Renningen
Full-timeInternshipWith Home Office
AI/ML
Data Science
New Job?Nejo!
The AI Job Search Engine
Description
In this role, you will work with a dynamic team to enhance simulation tools using advanced machine learning techniques. Your day-to-day responsibilities will include developing algorithms, analyzing data, and creating surrogate models to improve efficiency in real-world applications.
Let AI find the perfect jobs for you!
Upload your CV and Nejo AI will find matching job offers for you.
Requirements
- •Master's degree in Engineering, Computer Science, Applied Mathematics, or comparable field
- •Proficiency in programming languages, particularly Python
- •Strong background in AI, Machine Learning, and optimization methods
- •Experience with PyTorch and/or TensorFlow
- •Self-starter with effective independent and team working skills
- •Structured and organized approach to research
- •Excellent analytical and critical thinking skills
- •Passion for Machine Learning and programming
- •Problem-solving mindset
- •Very good in German or English
Education
Master's degree
Tasks
- •Collaborate with researchers to develop simulation tools
- •Enhance models and methods for simulations
- •Apply advanced Machine Learning techniques
- •Develop novel algorithms to improve simulation performance
- •Conduct analysis of simulation output datasets
- •Extract meaningful information from datasets
- •Train and validate algorithms using simulation data
- •Generate robust surrogate models
- •Test and demonstrate efficiency improvements in design
Tools & Technologies
PythonPyTorchTensorFlow
Languages
German – Business Fluent
English – Business Fluent
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Bosch Group 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.
About the Company
Bosch Group
Industry
IT
Description
Das Unternehmen entwickelt hochwertige Technologien und Dienstleistungen, die das Leben der Menschen verbessern.
Not a perfect match?
- Bosch Group
PhD - Machine Learning-based Surrogate Modeling for Computationally Efficient Multiphysics Simulation(m/w/x)
Full-timeWith HomeofficeNot specifiedRenningen - CARIAD SE
Internship / Masters Thesis - Sim-to-Real Transfer in Reinforcement Learning(m/w/x)
Full-timeInternshipWith Homeofficefrom 13.9 / hourMönsheim, München, Berlin - CARIAD SE
Internship / Masters Thesis - Sim‑to‑Real Transfer in Reinforcement Learning(m/w/x)
Full-timeInternshipWith Homeofficefrom 13.9 / hourMönsheim, Berlin, München - Bosch Group
Master Thesis Industrial Energy System Modelling(m/w/x)
Full-timeInternshipWith HomeofficeRenningen - CARIAD SE
Internship / Masters Thesis - Meta-Reinforcement Learning for Vehicle Functions(m/w/x)
Full-timeInternshipWith Homeofficefrom 13.9 / hourMönsheim, München, Berlin