Research Assistant
vor 4 Wochen
Research Opportunities at Technical University of Munich
As a Research Assistant at the Technical University of Munich, you will have the opportunity to contribute to the development of cutting-edge AI agents for supply chain optimization. You will work on problems that have a direct impact on saving lives and on enabling organizations to generate "more with less," and thus optimize resources. The problems we address need a careful transformation of state-of-the-art machine learning techniques to ensure robust, reliable, and safe performance in the real-world.
Key Responsibilities:
- Work on unique R&D questions that bring solutions to real-world problems
- Develop and fine-tune LLMs for "agentic" tasks in supply chain optimization
- Collaborate with a diverse and remote team that includes world-renowned leaders in the field of AI and optimization
- Document and publish your work at high-impact machine learning conferences
Requirements:
- Open-mindedness and curiosity; a "can do" attitude
- Solid communication skills and collaboration experience
- Being a master's or PhD student in Machine Learning or a related discipline
- Fierce hacker mentality & a demo or die mindset
- Proficiency in Python, especially common AI libraries, and GPU computing
- Strong understanding of CS, ML, and Statistics
- Problem-solving skills and the ability to think critically
Plus Points:
- Publication or contributions to top-tier ML venues
- Proficiency in NLP and mathematical optimization
- Experience with fine-tuning and multi-agent LLMs
About Pendulum:
Pendulum is co-founded by Prof. Suvrit Sra (CIT, TUM & EECS MIT)
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