Research Scientist (Computer Science/Computer Engineering/Electrical & Electronic Engineering) Full-time

Research Scientist

ANGEL is seeking a highly motivated research scientist to pioneer the next generation of intelligent agents for data center operations. We conduct cutting-edge research at the intersection of large language models (LLMs), digital twins, and real-time systems to automate complex decisions and redefine operational efficiency.

Key Responsibilities

• Lead and conduct innovative research on novel agent architectures, including tool-use methodologies, advanced planning algorithms, and multi-agent collaboration for simulation-based optimization.
• Design and conceptualize new frameworks for autonomous agentic systems and LLM-powered copilots tailored for critical data center applications.
• Stay at the forefront of AI research in LLMs, reinforcement learning, and agentic systems. Guide junior researchers and engineers, fostering a culture of academic excellence.
• Publish research findings in top-tier conferences and journals. Present work at academic and industry events to share knowledge and establish thought leadership.
• Work closely with a cross-functional team of engineers and domain experts to translate research concepts into impactful solutions and guide their implementation.

Requirements

• PhD in computer science, computer engineering, electrical & electronic engineering, or related disciplines.
• A strong research background and publication record in relevant areas such as LLMs, agentic AI, reinforcement learning, or multi-agent systems.
• Deep theoretical and practical understanding of state-of-the-art AI models and frameworks (e.g., Transformers, LangChain, PyTorch).
• Demonstrated ability to formulate research problems, design experiments, and analyze results rigorously.
• Proficiency in Python and experience with relevant ML/LLM libraries.
• For senior research fellow: several years of post-doctoral experience, a proven track record of leading research projects, and a distinguished publication history.

We regret that only shortlisted candidates will be notified.

Hiring institution: NTU