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National University of Singapore

Research Engineer (LLM for Construction Safety)

kent, WA

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About this opportunity

National University of Singapore lists this Research Engineer (LLM for Construction Safety) opportunity in kent, Washington. Review the employer’s description below for duties, qualifications and application requirements.

Job description

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: Kent Ridge Campus

Posted On: 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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Worksite address

kent, WA, 98089, US

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