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COCOMPREDICT

Intern Tire Wear(m/w/x)

Darmstadt
Full-time, Part-timeInternshipOn-site

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

  • EnglishBusiness Fluent

Tools & Technologies

  • Matlab
  • Simulink
  • Python
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