Internship / Final Thesis Application of AI Methods in Vehicle Safety (f/m/d)

Internship / Final Thesis Application of AI Methods in Vehicle Safety (f/m/d)

Job ID:  7638
Company:  Volkswagen AG
Location: 

Wolfsburg, DE, 38436

Department:  Research and Development
Career Level:  Interns
Working Model:  Full-time
Contract Type:  Fixed-term
Remote Working:  Up to 40%
Posting Date:  Jul 10, 2024

Internship / Final Thesis Application of AI Methods in Vehicle Safety (f/m/d)

 

 

Environment

In the Vehicle Safety Test team, we are responsible for the entire scope of testing relating to active and passive safety. This includes the development of necessary test equipment, measuring tools, analysis methods, software tools, IT systems and databases. Due to the large amount of measurement data generated, it is necessary to be able to carry out analyses without human intervention. To this end, AI algorithms are trained and continuously updated with newly entered data in order to generate the most optimized and meaningful evaluations possible. The assignment is now possible with a duration of 6 months. This internship is to be completed full-time.

Possible Tasks within this Role

  • Conduct literature research in the field of supervised learning (regression) and statistical modeling for time series prediction

  • Identify and adapt the best methods for accurate predictions according to the project requirements

  • Create and implement Python scripts for data processing, analysis, visualization, and adaptation of selected methods

  • Conduct and evaluate experiments with the implemented methods and analyze the results, including strengths and weaknesses

Qualification requirements

  • Students in the field of engineering, computer science or related fields

  • Very good performances

  • Working independently, solving problems, structured working style

  •  Interest in passive vehicle safety and the application of AI methods in real-world scenarios

  • German and English language level C1

  • As well as strong programming skills in Python

  • Initial experience with relevant machine learning frameworks such as PyTorch, TensorFlow, and Bitbucket/GIT is an advantage for version control

The following documents must be submitted with the application

  • Curriculum vitae

  • Current certificate of enrolment

  • Current transcript of records

  • In the case of a compulsory internship, an additional certificate from the university

  • Work permit for non-EU citizens


Contact person for this posting: Brigitte Adam-Huth

 

 

Environment

In the Vehicle Safety Test team, we are responsible for the entire scope of testing relating to active and passive safety. This includes the development of necessary test equipment, measuring tools, analysis methods, software tools, IT systems and databases. Due to the large amount of measurement data generated, it is necessary to be able to carry out analyses without human intervention. To this end, AI algorithms are trained and continuously updated with newly entered data in order to generate the most optimized and meaningful evaluations possible. The assignment is now possible with a duration of 6 months. This internship is to be completed full-time.

Possible Tasks within this Role

  • Conduct literature research in the field of supervised learning (regression) and statistical modeling for time series prediction

  • Identify and adapt the best methods for accurate predictions according to the project requirements

  • Create and implement Python scripts for data processing, analysis, visualization, and adaptation of selected methods

  • Conduct and evaluate experiments with the implemented methods and analyze the results, including strengths and weaknesses

Qualification requirements

  • Students in the field of engineering, computer science or related fields

  • Very good performances

  • Working independently, solving problems, structured working style

  •  Interest in passive vehicle safety and the application of AI methods in real-world scenarios

  • German and English language level C1

  • As well as strong programming skills in Python

  • Initial experience with relevant machine learning frameworks such as PyTorch, TensorFlow, and Bitbucket/GIT is an advantage for version control

The following documents must be submitted with the application

  • Curriculum vitae

  • Current certificate of enrolment

  • Current transcript of records

  • In the case of a compulsory internship, an additional certificate from the university

  • Work permit for non-EU citizens


Contact person for this posting: Brigitte Adam-Huth

Job ID:  7638
Company:  Volkswagen AG
Location: 

Wolfsburg, DE, 38436

Department:  Research and Development
Career Level:  Interns
Working Model:  Full-time
Contract Type:  Fixed-term
Remote Working:  Up to 40%
Posting Date:  Jul 10, 2024

Volkswagen - that's why

We want to revolutionize and shape the mobility of tomorrow sustainably. For this purpose, we are looking for talents who are willing to break completely new ground with us and are not afraid to make mistakes. We are looking for personalities who want to achieve something extraordinary. And talents who believe in the innovative power of big ideas. Are you in?

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