Development of LLM-based Autonomous Materials Discovery Methods [A26-01]
Core
Lead the development of original AI-driven materials research methodologies and their application to innovative materials discovery by integrating Large Language Models (LLMs) and AI agents with domain expertise in materials science.
Role type
Researcher specializing in AI-driven materials discovery and LLM-based autonomous exploration frameworks
Builds
New materials discovery pipelines and autonomous reasoning engines for complex materials science challenges
Domain
Materials Science / Artificial Intelligence / Large Language Models
Deliverable
production ML models
Required skills
Large Language Models (LLMs), AI agents, deep learning model implementation, Python, open-source software (OSS) development, materials science domain expertise
Preferred skills
Designing optimized reasoning engines, developing autonomous exploration frameworks, publishing in internationally recognized journals
Technologies
Python, Large Language Models, AI agents, deep learning frameworks
Responsibilities
Design and develop optimized reasoning engines and autonomous exploration frameworks tailored to materials science challenges, integrate LLMs with materials science domain expertise, complete the cycle from design and synthesis to verification of specific new materials leveraging self-developed AI methods and large-scale materials databases
Seniority
Researcher (Ph.D. level)