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Internship AI Methods Vehicle Safety (f/m/d)

  • Internship
    Full-time
    Summer Internship
  • Data
    Engineering
  • Wolfsburg

AI generated summary

  • You should be a student in engineering or computer science with strong Python skills, knowledge of ML frameworks, data processing with Pandas, and C1-level German and English.
  • You will research condition monitoring of mobile robots, develop Python scripts for data processing, analyze results, and present findings to the supervisor and research team.

Requirements

  • Students in engineering, computer science, data science or comparable fields of study
  • Very good academic performance
  • Good programming skills in Python, including the application of OOP principles
  • Basic knowledge of relevant ML frameworks such as PyTorch or TensorFlow, as well as data processing libraries such as Pandas
  • Interest in integrating technical system understanding and data-based analysis
  • German and English language level C1
  • Driver's license advantageous
  • Independent work and problem solving

Responsibilities

  • Conduct research on condition monitoring of mobile robots, use of time series data with a special focus on physics-informed models
  • Identify methods that best meet the project's needs and offer high potential for accurate predictions
  • Develop Python scripts for data processing, analysis, and visualization
  • Implement and adapt methods in Python, and conduct experiments with mobile robots for evaluation
  • Analyzing and interpreting the results, evaluating the methods and presenting to the supervisor and research team

FAQs

What is the main focus of the Vehicle Safety Test Technology team?

The main focus is on active and passive safety experiments, which includes developing test facilities, measuring equipment, analysis methods, and software tools necessary for these experiments.

What kind of students are eligible to apply for this internship?

Students in engineering, computer science, data science, or comparable fields of study are eligible to apply.

What programming skills are required for this internship?

Good programming skills in Python, including the application of object-oriented programming (OOP) principles, are required.

Are there any specific machine learning frameworks or libraries that candidates should be familiar with?

Yes, candidates should have basic knowledge of relevant machine learning frameworks such as PyTorch or TensorFlow, as well as data processing libraries like Pandas.

Is there an opportunity to write a thesis during or after the internship?

Yes, there is a possibility to write a thesis after completing the internship.

What level of language proficiency is required for this position?

A German and English language proficiency level of C1 is required.

Is a driver's license necessary for this internship?

A driver's license is advantageous but not explicitly required.

What documents need to be submitted with the application?

Applicants must submit a curriculum vitae, current certificate of enrollment, current transcript of records, and for compulsory internships, an additional certificate from the university. Non-EU citizens also need to provide a work permit.

What type of analyses will the intern be involved in?

The intern will conduct data processing, analysis, and visualization, with a focus on condition monitoring of mobile robots and physics-informed models.

Who can I contact for more information regarding this internship position?

For more information, you can contact Brigitte Adam-Huth, the designated contact person for this posting.

Manufacturing & Electronics
Industry
10,001+
Employees
1937
Founded Year

Mission & Purpose

The Volkswagen Group with its headquarters in Wolfsburg is one of the world’s leading automobile manufacturers and the largest carmaker in Europe. The Group is made up of ten brands from seven European countries: Volkswagen, Volkswagen Nutzfahrzeuge, ŠKODA, SEAT, CUPRA, Audi, Lamborghini, Bentley, Porsche and Ducati. Our group sells vehicles in 153 countries and operates 119 production plants worldwide. Each working day, around 675,000 employees worldwide produce cars, are involved in vehicle-related services or work in the other fields of business. Our goal is to make mobility sustainable for us and for future generations. Our promise: With electric drive, digital networking and autonomous driving, we make the automobile clean, quiet, intelligent and safe. At the same time, our core product becomes even more emotional and offers a completely new driving experience. It is also becoming part of the solution when it comes to climate and environmental protection. In this way, the car can continue to be a cornerstone of contemporary, individual and affordable mobility in the future. #Shapingmobility