BMW Group is seeking a PhD candidate for its ProMotion programme to conduct applied research in sustainable supply chain management. In this role, you will develop scalable ESG risk models with a focus on creating an LLM-based ESG risk register. Your research will be conducted in collaboration with Ulm University.

What You'll Do

Develop an LLM-based ESG risk register that automatically maps unstructured information to regulatory risk categories.
Create a scalable source and data corpus and develop suitable methods for structuring unstructured information.
Design and implement a prototype for assessing abstract ESG risks as a basis for risk-based supplier prioritization.
Iteratively evaluate and improve the approach based on defined quality criteria and expert feedback.
Prepare results for different target groups and integrate them into internal and external formats.
Publish research findings in collaboration with Ulm University and contribute to the scientific dialogue on ESG, supply chain management, and artificial intelligence.

What We're Looking For

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.
Fulfilment, or the ability to fulfil in the near future, the formal admission requirements for a doctoral degree at Ulm University in the field of Dr. rer. pol.
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.
Very good English skills in spoken and written form.