Intern in Data science and Analytics (m/f)
Colmar-Berg, L, LU
il y a 2j

Goodyear. More Driven

The opportunity :

This project will analyze the errors between FEA simulation results and Experimental test results, quantify the statistical error and develop a prediction model which predicts the error corrections.

Test results are considered as the ground truth.

This knowledge, ideally incorporated in a model, can provide useful feedback to FEA engineers about their output and ideally it will reduce the number of physical experiments required on the tires with a direct impact on the budget.

Responsibilities :

  • Conduct a thorough analysis of the error residuals between the 2 sets of data. Provide visualization of the analysis
  • Implement hybrid models to predict the error residuals using the input parameters. Analyze the impact of additional parameters on the residuals
  • Validate results and ideas with senior data scientists and FEA engineers
  • Present the status of the project during team meetings (at least 2 presentations)
  • Create written documentation and transfer the results to one permanent team member.
  • To join our team you will need :

    Education :

    Current Msc student of Data Science, Mathematics or Computer Science.

    Languages :

    Fluency in English is a must. French or German is advantage.

    Skills & Qualifications :

  • UX / UI design
  • Python
  • You must be available for 6 months & be enrolled in university.

    Ideal starting date : January - March 2021

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