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Master's Thesis / Internship in Deep Learning for Autonomous Driving

Volkswagen Algérie

Wolfsburg, Lower Saxony, Germany · À temps plein

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Expérience
N'importe lequel
Salaire
Ouvertures
1
Publié
il y a 7 heures
Mode de travail
Au bureau
Éducation
Master's student
CV
Candidature requise

Votre lieu de travail

Description de l'emploi

About the Role

Join Volkswagen Group Innovation in Wolfsburg, Germany, where we focus on AI and data analytics to advance digital services for various Volkswagen Group brands. Our team specializes in applying cutting-edge artificial intelligence to vehicle data, emphasizing perception and scene understanding challenges in self-driving technologies. We particularly examine complex and adverse driving conditions to enhance automated vehicle testing.

This opportunity allows you to engage deeply with generative AI and autonomous driving through either a master's thesis or internship (minimum six months). Thesis topics and research goals are set collaboratively with your academic supervisor.

Key Responsibilities

  • Design and implement frameworks to produce traffic scenarios featuring anomalies or challenging conditions systematically.
  • Conduct comprehensive reviews of literature concerning anomalous data generation methods.
  • Execute practical evaluations of data-driven deep learning techniques for scenario creation within specific use cases.
  • Assess the generated data quality using established or self-formulated benchmarks.
  • Prepare detailed documentation and effectively communicate findings.

Candidate Profile

  • Currently enrolled Master's student in Computer Science, Robotics, Data Science, Mathematics, Physics, Engineering, or related fields.
  • Demonstrates strong academic performance.
  • Exhibits excellent analytical abilities and familiarity with scientific research methodologies.
  • Capable of independent work and collaboration in multidisciplinary teams; highly motivated.
  • Proficient in an object-oriented programming language, ideally Python, alongside solid experience in deep learning techniques.
  • Hands-on experience with deep learning frameworks such as PyTorch, primarily through research projects.
  • Preferably has practical exposure to driver assistance or automated driving systems.
  • Fluent in English, at minimum B2 level.

Application Requirements

  • Submit a cover letter and CV.
  • Provide a current enrollment certificate.
  • Include the latest academic transcript.
  • For mandatory internships, a confirmation letter from the university is necessary.
  • Non-EU applicants must have a valid work permit.

Keywords

Generative AI, Machine Learning, Autonomous Driving, Automated Driving, Anomalous Data, Deep Learning, Scene Understanding

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