PhD candidate Multi-Modal Foundation Models (f/m/x)
Munich, DE
BMW Group
Welcome to the BMW Group. Our focus on the premium idea and the principle of sustainability appeals to people worldwide.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.
We, the BMW Group, offer you an interesting and varied Ph.D. program in the area of human-agent interaction, its applications and industrialization in the BMW production system. Our department is responsible for implementing new technologies in the context of a consistent digitization strategy for the BMW production system. The focus is on the development of platforms for the efficient provisioning of LLM-based applications for specifically for designed for direct and indirect production environments. This includes the combination of various data sources, end-user-oriented interface modeling, as well as the definition and enforcement of standards in dealing with foundation models.
What awaits you?
- The research of advanced agentic strategies with strong focus on retrieval, proper tool selection, and context-building.
- You will develop state models to control and align the agent's behavior with the user's state of action over the course of longer conversations.
- You will contribute to reliable user-intent understanding and trust in the agent's provided outputs and explanations.
- You will define objective metrics to measure the effectiveness of data agents. You will implement your concepts as actual use cases for evaluation and benchmarking.
- The opportunity to attend international conferences, publish your results and create collaborations with other research partners.
- You communicate ongoing developments in the area within the team and the overarching AI-network.
- BMW mentoring, onboarding, and support in personal/ professional development.
What should you bring along?
- An excellent master’s degree in computer science, mathematics, machine learning or equivalent.
- Strong knowledge of the fundamentals of deep learning and natural language processing.
- Strong practical experience in python programming.
- Proficiency in modern software development.
- Experience in at least one common LLM open-source framework like LangChain, or Llama-Index.
- Familiarity in dealing with public cloud architectures and services is a plus.
- Very good command of the English language.
What do we offer?
- Comprehensive mentoring & onboarding.
- Personal & professional development.
- Flexible working hours.
- Digital offers & mobile working.
- Attractive remuneration.
- Apartment offers for students (subject to availability & only Munich).
- And many other benefits - see bmw.jobs/benefits
You are enthused by new technologies and an innovative environment? Apply now!
At the BMW Group, we see diversity and inclusion in all its dimensions as a strength for our teams. Equal opportunities are a particular concern for us, and the equal treatment of applicants and employees is a fundamental principle of our corporate policy. That is why our recruiting decisions are also based on personality, experience and skills.
Find out more about diversity at the BMW Group at bmwgroup.jobs/diversity
Earliest starting date: from 09/01/2024
Duration: 36 months
Working hours: Full-time
Contact:
BMW Group HR Team
+49 89 382-17001
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Architecture Computer Science Deep Learning LangChain LLaMA LLMs Machine Learning Mathematics NLP Open Source PhD Python Research
Perks/benefits: Career development Conferences Flex hours
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