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, 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 A research-intensive public university, Nanyang Technological University, Singapore (NTU Singapore) has 33,000 undergraduate and postgraduate students in the Engineering, Business, Science, Humanities, Arts, & Social Sciences, and Graduate colleges. It also has a medical school, the Lee Kong Chian School of Medicine, established jointly with Imperial College London. NTU is also home to world-class autonomous institutes - the National Institute of Education, S Rajaratnam School of International Studies, Earth Observatory of Singapore, and Singapore Centre for Environmental Life Sciences Engineering - and various leading research centres such as the Nanyang Environment & Water Research Institute (NEWRI) and Energy Research Institute @ NTU (ERI@N). Ranked amongst the world’s top universities by QS, NTU has also been named the world’s top young university for the past seven years. The University’s main campus is frequently listed among the Top 15 most beautiful university campuses in the world and has 57 Green Mark-certified (equivalent to LEED-certified) buildings, of which 95% are certified Green Mark Platinum. Apart from its main campus, NTU also has a campus in Novena, Singapore’s healthcare district. Under the NTU Smart Campus vision, the University harnesses the power of digital technology and tech-enabled solutions to support better learning and living experiences, the discovery of new knowledge, and the sustainability of resources.

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