COMPREDICT
Senior Vehicle Dynamics Engineer(m/w/x)
Full-timeOn-siteSenior
Darmstadt
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COCOMPREDICT
Intern Tire Wear(m/w/x)
Darmstadt
Full-time, Part-timeInternshipOn-site
Nejo AI Summary
At a sustainable mobility solutions provider, developing Virtual Sensors for tire wear estimation from low frequency data. Proficiency in Matlab/Simulink, Python, and time-series data analysis required. Direct implementation and evaluation of Virtual Sensor approaches.
Requirements
- Bachelor or Master student in Mechatronics or Mechanical Engineering
- Proficiency in Matlab/Simulink and Python for data analysis and scripting
- Strong analytical and problem-solving mindset
- Interest in innovative automotive technologies development
- Experience with time-series data analysis
Tasks
- Investigate new methods for tire wear estimation
- Adapt a Virtual Sensor for low frequency data
- Collaborate with Data Scientists on automotive solutions
- Modify existing approaches for fleet monitoring challenges
- Imagine, implement, and evaluate different Virtual Sensor approaches
- Contribute to the exploratory phase of a Virtual Sensor
Education
- Currently in higher education
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.
Not a perfect match?
- SurTec Deutschland GmbH
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COCOMPREDICT
Intern Tire Wear(m/w/x)
Darmstadt
Full-time, Part-timeInternshipOn-site
Nejo AI Summary
At a sustainable mobility solutions provider, developing Virtual Sensors for tire wear estimation from low frequency data. Proficiency in Matlab/Simulink, Python, and time-series data analysis required. Direct implementation and evaluation of Virtual Sensor approaches.
Requirements
- Bachelor or Master student in Mechatronics or Mechanical Engineering
- Proficiency in Matlab/Simulink and Python for data analysis and scripting
- Strong analytical and problem-solving mindset
- Interest in innovative automotive technologies development
- Experience with time-series data analysis
Tasks
- Investigate new methods for tire wear estimation
- Adapt a Virtual Sensor for low frequency data
- Collaborate with Data Scientists on automotive solutions
- Modify existing approaches for fleet monitoring challenges
- Imagine, implement, and evaluate different Virtual Sensor approaches
- Contribute to the exploratory phase of a Virtual Sensor
Education
- Currently in higher education
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
Senior Vehicle Dynamics Engineer(m/w/x)
Full-timeOn-siteSeniorDarmstadt - SurTec Deutschland GmbH
Master’s thesis on AI and process optimization(m/w/x)
Full-timeInternshipOn-siteZwingenberg - Fraunhofer-Gesellschaft
Bachelor- oder Masterarbeit zu Vibroakustische Metamaterialien eine innovative Maßnahme zur Lärm- und Schwingungsminderung(m/w/x)
Full-timeInternshipOn-siteDarmstadt - Fraunhofer-Gesellschaft
Masterarbeit Sicherheitsbewertung autonomer Systeme(m/w/x)
Full-timeInternshipOn-siteDarmstadt - Fraunhofer-Gesellschaft
Master's Thesis: Fair and Balanced Age Estimation through Dynamic Group Training(m/w/x)
Full-timeInternshipOn-siteDarmstadt