BMW Group
Doktorand ESG Risikoanalytik in globalen Lieferketten(m/w/x)
Part-timeWith HomeofficeNot specified
München
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BMBMW Group
PhD ESG Risk Analytics in Global Supply Chain(m/w/x)
München
Part-timeWorking StudentWith Home Office
Green Job
AI/ML
Nejo AI Summary
Building LLM-based ESG risk registers, automating unstructured data mapping to regulatory categories at a sustainable mobility company. Master's degree with very good results and doctoral admission at Ulm University required. Comprehensive mentoring, flexible working hours.
Requirements
- Completed master’s degree (very good results) or equivalent qualification in business administration, economics, management, industrial engineering, business informatics, or comparable field of study
- Fulfilment or ability to fulfil doctoral admission requirements at Ulm University
- Strong interest in sustainable supply chains, ESG risk management, and regulatory topics (CSDDD or German Supply Chain Act)
- Experience in data analysis and programming (e.g., Python), interest in natural language processing and large language models
- Advantageous knowledge in prompting or model evaluation
- Very good English skills (spoken and written)
- Desirable German language skills
- Valid residence or work permit for non-EU citizens
Tasks
- Develop an LLM-based ESG risk register.
- Automate mapping unstructured information to regulatory risk categories.
- Create a scalable source and data corpus.
- Develop methods for structuring unstructured information.
- Design and implement a prototype for abstract ESG risk assessment.
- Iteratively evaluate and improve the approach.
- Apply defined quality criteria and expert feedback.
- Prepare results for different target groups.
- Integrate results into internal and external formats.
- Publish research findings with Ulm University.
- Contribute to scientific dialogue on ESG, SCM, and AI.
Education
- Currently in higher education
Languages
- English – Business Fluent
- German – Basic
Tools & Technologies
- Python
- natural language processing
- large language models
Benefits
Mentorship & Coaching
- Comprehensive mentoring
- Onboarding
Learning & Development
- Personal development
- Professional development
Flexible Working
- Flexible working hours
- Mobile working
Other Benefits
- Digital offers
- Apartment offers for students (Munich)
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of BMW Group and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
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BMBMW Group
PhD ESG Risk Analytics in Global Supply Chain(m/w/x)
München
Part-timeWorking StudentWith Home Office
Green Job
AI/ML
Nejo AI Summary
Building LLM-based ESG risk registers, automating unstructured data mapping to regulatory categories at a sustainable mobility company. Master's degree with very good results and doctoral admission at Ulm University required. Comprehensive mentoring, flexible working hours.
Requirements
- Completed master’s degree (very good results) or equivalent qualification in business administration, economics, management, industrial engineering, business informatics, or comparable field of study
- Fulfilment or ability to fulfil doctoral admission requirements at Ulm University
- Strong interest in sustainable supply chains, ESG risk management, and regulatory topics (CSDDD or German Supply Chain Act)
- Experience in data analysis and programming (e.g., Python), interest in natural language processing and large language models
- Advantageous knowledge in prompting or model evaluation
- Very good English skills (spoken and written)
- Desirable German language skills
- Valid residence or work permit for non-EU citizens
Tasks
- Develop an LLM-based ESG risk register.
- Automate mapping unstructured information to regulatory risk categories.
- Create a scalable source and data corpus.
- Develop methods for structuring unstructured information.
- Design and implement a prototype for abstract ESG risk assessment.
- Iteratively evaluate and improve the approach.
- Apply defined quality criteria and expert feedback.
- Prepare results for different target groups.
- Integrate results into internal and external formats.
- Publish research findings with Ulm University.
- Contribute to scientific dialogue on ESG, SCM, and AI.
Education
- Currently in higher education
Languages
- English – Business Fluent
- German – Basic
Tools & Technologies
- Python
- natural language processing
- large language models
Benefits
Mentorship & Coaching
- Comprehensive mentoring
- Onboarding
Learning & Development
- Personal development
- Professional development
Flexible Working
- Flexible working hours
- Mobile working
Other Benefits
- Digital offers
- Apartment offers for students (Munich)
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of BMW Group and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
About the Company
BMW Group
Industry
Automotive
Description
Das Unternehmen bietet spannende Praktika im Bereich Markenerlebnis und Eventmanagement und legt großen Wert auf Gleichbehandlung und Chancengleichheit.
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