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Intern Tire Wear(m/w/x)
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
Not a perfect match?
- SurTec Deutschland GmbHFull-timeInternshipOn-siteZwingenberg
- Fraunhofer-Gesellschaft
Bachelor- oder Masterarbeit zu Vibroakustische Metamaterialien eine innovative Maßnahme zur Lärm- und Schwingungsminderung(m/w/x)
Full-timeInternshipOn-siteDarmstadt - Telespazio Germany GmbH
Working Student - Software Development and Validation(m/w/x)
Full-time/Part-timeWorking StudentOn-siteDarmstadt - Fraunhofer-Gesellschaft
Master's Thesis: Fair and Balanced Age Estimation through Dynamic Group Training(m/w/x)
Full-timeInternshipOn-siteDarmstadt - Autohaus Nix
Praktikum Technisch(m/w/x)
Full-timeInternshipOn-siteDarmstadt
Intern Tire Wear(m/w/x)
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
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?
- 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 - Telespazio Germany GmbH
Working Student - Software Development and Validation(m/w/x)
Full-time/Part-timeWorking StudentOn-siteDarmstadt - Fraunhofer-Gesellschaft
Master's Thesis: Fair and Balanced Age Estimation through Dynamic Group Training(m/w/x)
Full-timeInternshipOn-siteDarmstadt - Autohaus Nix
Praktikum Technisch(m/w/x)
Full-timeInternshipOn-siteDarmstadt