COMPREDICT
Intern Tire Wear(m/w/x)
Full-time/Part-timeInternshipOn-site
Darmstadt
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COCOMPREDICT
Senior Vehicle Dynamics Engineer(m/w/x)
Darmstadt
Full-timeOn-siteSenior
AI/ML
Nejo AI Summary
Modeling vehicle component loads from large-scale sensor time-series data, implementing numerical models for vehicle dynamics. 5+ years physical modelling for vehicle dynamics and embedded systems deployment experience required. Focus on software-defined vehicle solutions using Python/Matlab/Simulink.
Requirements
- 5+ years of experience in physical modelling and system-based approaches for vehicle dynamics, motion control, or similar fields
- Solid understanding of vehicle dynamics and signal processing
- Experience with deployment of functions in embedded systems
- Graduation in electronics, mechatronics, mechanical engineering, or similar education
- Experience with Matlab/Simulink
- Experience with Python
- Knowledge about Machine Learning concepts
Tasks
- Process and analyze large-scale time-series data from vehicle sensors
- Develop data-driven simulation models for vehicle component loads
- Implement and optimize numerical models for vehicle dynamics applications
- Utilize Python and/or Matlab/Simulink for data analysis and simulation
- Collaborate with cross-functional teams to integrate simulation models
Work Experience
- 5 years
Education
- Bachelor's degree
Languages
- English – Business Fluent
Tools & Technologies
- Matlab/Simulink
- Python
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of COMPREDICT 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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COCOMPREDICT
Senior Vehicle Dynamics Engineer(m/w/x)
Darmstadt
Full-timeOn-siteSenior
AI/ML
Nejo AI Summary
Modeling vehicle component loads from large-scale sensor time-series data, implementing numerical models for vehicle dynamics. 5+ years physical modelling for vehicle dynamics and embedded systems deployment experience required. Focus on software-defined vehicle solutions using Python/Matlab/Simulink.
Requirements
- 5+ years of experience in physical modelling and system-based approaches for vehicle dynamics, motion control, or similar fields
- Solid understanding of vehicle dynamics and signal processing
- Experience with deployment of functions in embedded systems
- Graduation in electronics, mechatronics, mechanical engineering, or similar education
- Experience with Matlab/Simulink
- Experience with Python
- Knowledge about Machine Learning concepts
Tasks
- Process and analyze large-scale time-series data from vehicle sensors
- Develop data-driven simulation models for vehicle component loads
- Implement and optimize numerical models for vehicle dynamics applications
- Utilize Python and/or Matlab/Simulink for data analysis and simulation
- Collaborate with cross-functional teams to integrate simulation models
Work Experience
- 5 years
Education
- Bachelor's degree
Languages
- English – Business Fluent
Tools & Technologies
- Matlab/Simulink
- Python
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of COMPREDICT 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
COMPREDICT
Industry
Automotive
Description
The company is driving the shift towards software-defined vehicles, offering solutions for sustainable mobility.
Not a perfect match?
- COMPREDICT
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