Research Scientist (Computer Science/Computer Engineering/Electrical & Electronic Engineering)

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

Spearhead Research: Lead and conduct innovative research on novel agent architectures, including tool-use methodologies, advanced planning algorithms, and multi-agent collaboration for simulation-based optimization. Innovate & Conceptualize: Design and conceptualize new frameworks for autonomous agentic systems and LLM-powered copilots tailored for critical data center applications.

Lead & Mentor: 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 & Disseminate: Publish research findings in top-tier conferences and journals. Present work at academic and industry events to share knowledge and establish thought leadership.

Collaborate: 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, Lang. Chain, Py. Torch). 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