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COCOMPREDICT
Intern Tire Wear(m/w/x)
Darmstadt
Full-time, Part-timeInternshipOn-site
Nejo AI Summary
In this role, you will explore innovative methods for estimating tire wear, with a focus on fleet management. Your daily work will involve adapting a Virtual Sensor to low-frequency data while collaborating with Data Scientists to develop cutting-edge automotive solutions.
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
MatlabSimulinkPython
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.
COCOMPREDICT
Intern Tire Wear(m/w/x)
Darmstadt
Full-time, Part-timeInternshipOn-site
Nejo AI Summary
In this role, you will explore innovative methods for estimating tire wear, with a focus on fleet management. Your daily work will involve adapting a Virtual Sensor to low-frequency data while collaborating with Data Scientists to develop cutting-edge automotive solutions.
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
MatlabSimulinkPython
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.