PhD ESG Risk Analytics in Global Supply Chain (f/m/x)

THE FUTURE IS WHAT WE CREATE WHEN WE TAKE OUR VISIONS TO THE LIMITS.

PHD AT THE BMW GROUP.

Bridging the gap between your doctoral studies and the kind of career challenge you’re looking for isn’t always easy. That’s why our ProMotion PhD programme gives you the opportunity to apply your passion and scientific expertise to very real challenges that could shape the future of mobility. If selected, you’ll have the chance to really develop your own future career path with us through your practice-related thesis, promote your chosen specialty from within – and position yourself to secure the career you’ve always wanted.

 

At the BMW Group, we shape sustainable mobility that is data driven, responsible, and driven by a spirit of progress. In our team for environmental and social standards as well as due diligence in the supplier network, we develop scalable ESG risk models to effectively implement regulatory requirements such as the CSDDD.

What awaits you?

• Development of an LLM based ESG risk register that automatically maps unstructured information to regulatory risk categories.
• Creation of a scalable source and data corpus and development of suitable methods for structuring unstructured information.
• Design and implementation of a prototype for assessing abstract ESG risks as a basis for risk based supplier prioritization.
• Iterative evaluation and improvement of the approach based on defined quality criteria and expert feedback.
• Preparation of results for different target groups and integration into internal and external formats.
• Publication of research findings in collaboration with Ulm University and contribution to the scientific dialogue on ESG, supply chain management, and artificial intelligence.

What should you bring along?

• A completed master’s degree with very good results, or an equivalent qualification, in business administration, economics, management, industrial engineering, business informatics, or a comparable field of study.
• Strong interest in sustainable supply chains, ESG risk management, and regulatory topics such as the CSDDD or the German Supply Chain Act.
• Experience in data analysis and programming, for example with Python, and an interest in natural language processing and large language models.
• Knowledge in prompting or model evaluation is an advantage.
• Very good English skills in spoken and written form; German language skills are desirable.

You are interested in applied research with real-world impact? Apply now!
Note: Please apply exclusively online through our career portal. Applications submitted via other channels (including email) cannot be considered. Citizens of countries outside the European Union must have a valid residence or work permit for the duration of the program.

What we offer?

• Comprehensive mentoring & onboarding.
• Personal & professional development.
• Flexible working hours.
• Digital offers & mobile working.
• Attractive, fair remuneration.
• Apartment offers for students (subject to availability & only Munich).
• And many other benefits - see bmw.jobs/benefits

 

Earliest starting date: 01.05.2026

Duration: 36 months

Working hours: Part-time

You can find helpful tips on your application and the application process here.

 

At the BMW Group, we place great importance on equal treatment and equal opportunities. Our recruiting decisions are based on the personality, experience, and skills of the applicants.

Learn more here.