Research Assistant

vor 4 Wochen


Munich, Bayern, Deutschland Technical University of Munich Vollzeit

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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