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National University Of Singapore

Research Engineer (LLM for Construction Safety)

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Job Description

Job Title: Research Engineer (LLM for Construction Safety)

University-Level Unit: College of Design and Engineering

Faculty/Department-Level Unit: Civil and Environmental Engineering

Employee Category: Research Staff

Location_ONB: Kent Ridge Campus

Posting Start Date: 16/04/2026

Job Description

The Department of Civil and Environmental Engineering at the National University of Singapore (NUS) is seeking a highly motivated and talented Research Engineer to join a groundbreaking, government-funded research project: MIDAS. This project aims to transform Design for Safety (DfS) in the construction and built environment sectors by developing an advanced, AI-driven advisory platform. MIDAS will leverage Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and multimodal data (text, images, and Building Information Models) to proactively identify design risks and recommend mitigation measures throughout a project's lifecycle.

The successful candidate will play a pivotal role in assisting with the core technical development of the MIDAS platform, specifically focusing on multimodal data ingestion and the RAG-based LLM reasoning engine. Key responsibilities include designing the algorithms, collaborating closely with multidisciplinary teams, and leading groups of student interns.

Job Requirements

  • At least a bachelor's in Civil Engineering, Built Environment, Computer Science or related field from a reputable university. Masters will be preferred.
  • Evidence of strong publication record in top academic journals
  • Proficiency in programming languages, particularly in Python or Matlab for automation and data analysis tasks
  • Familiarity working with Large Language Models and building RAG architectures.
  • Familiarity with BIM, IFC and graph databases.
  • Strong research experience, specifically in past research projects related to robotics or scene graphs is required
  • Strong written and oral communication skills.
  • Open to fixed-term contract

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Job ID: 148611411