Onsite PhD Candidate Data Science, Machine Learning – Electric Vehicle Charging Infrastructure

Posted 3 hours ago

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About the role

  • PhD candidate specializing in Data Science & Machine Learning at BMW Group, focusing on innovative solutions for electric vehicle charging infrastructure.

Responsibilities

  • Develop AI-supported methods for automated analysis and fault attribution using communication and vehicle data across the entire charging ecosystem.
  • Work with real BMW charging data, communication protocols, and ISO/IEC standards.
  • Define and implement use cases for fault detection, anomaly analysis, and quality assessment of DC charging sessions.
  • Prepare scientific contributions to advance international e‑mobility standards.
  • Develop predictive and preventive optimization measures to be integrated into BMW systems (e.g., eRoute) and customer-facing features.
  • Collaborate with internal departments and a university, and present results in both academic and industrial forums.

Requirements

  • Master’s degree in Computer Science, Electrical Engineering, Data Science, or a comparable technical discipline.
  • Solid knowledge of AI methods (e.g., deep learning, clustering, anomaly detection) and practical experience with Python or comparable frameworks.
  • Interest in automotive communication standards (e.g., ISO 15118) and data-intensive technical systems.
  • Willingness to make research results visible in both academic contexts and BMW corporate practice.

Benefits

  • Comprehensive mentoring & onboarding.
  • Personal and professional development opportunities.
  • Flexible working hours.
  • Mobile/remote work.
  • Attractive and fair compensation.
  • Annual additional payments such as holiday and Christmas bonuses.
  • Student apartments (subject to availability; Munich location only).

Job title

PhD Candidate Data Science, Machine Learning – Electric Vehicle Charging Infrastructure

Job type

Experience level

Mid levelSenior

Salary

Not specified

Degree requirement

Postgraduate Degree

Tech skills

Location requirements

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