Research Engineer I

2 weeks ago

Singapur, Singapore Nanyang Technological University Singapore Full time

Overview

Research Engineer I (Computer Science/AI/Machine Learning) at Nanyang Technological University Singapore (NTU Singapore).

NTU Singapore is a young and research-intensive university. NTU’s College of Computing and Data Science (CCDS) is a leading college known for its excellent curriculum, outstanding and impactful research, and world-renowned faculty. The college is ranked #2 for AI and Computer Science by US News Best Global Universities, and #8 for Data Science and AI by QS World University Ranking.

The CAP Group from Nanyang Technological University, Singapore, is seeking 1 motivated Research Engineer in the topic of Digital Twin. The candidate is expected to take the following responsibilities.

Responsibilities
  • Be responsible for developing the digital twin system for battery energy storage equipment using Python, and realize real-time simulation of equipment status, lifetime prediction, and optimal control.
  • Build 3D visualization models, and develop data interfaces and interaction logic based on business logic and application requirements.
  • Design and implement AI algorithms for battery/energy storage systems to improve the prediction accuracy and decision-making capabilities of the digital twin model.
  • Participate in the requirement analysis of battery/energy storage/digital energy projects, and collaborate in completing the closed-loop verification of physical equipment and virtual models.
  • Write technical documents, maintain code repositories, and conduct technical sharing for team members.
Qualifications
  • A Bachelor's degree in Computer Science, AI, Machine Learning, or a related technical field.
  • Proven backend development experience with a strong ability to build robust and scalable systems.
  • Hands-on experience building with LLMs, agentic frameworks (e.g., LangChain), and/or generative AI.
  • Expert-level programming skills in Python and deep familiarity with core ML/LLM libraries (e.g., PyTorch, Hugging Face, OpenAI APIs).
  • Practical knowledge of Retrieval-Augmented Generation (RAG), prompt engineering, and designing agents that use external tools.

We regret that only shortlisted candidates will be notified.

Employment details
  • Seniority level: Entry level
  • Employment type: Full-time
  • Job function: Engineering and Information Technology
  • Industries: Higher Education

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