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.
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.
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
Tagged as: Life Sciences
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