Research Fellow (LLM for Construction Safety)

Job Description

The Department of Civil and Environmental Engineering at the National University of Singapore (NUS) is seeking a highly motivated and talented Research Fellow (RF) 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 driving 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 PhD in Civil Engineering, Built Environment, Computer Science or related field from a reputable university.
• Evidence of strong publication record in top academic journals.
• Proficiency in programming languages, particularly in Python or Matlab for automation and data analysis tasks
• Proven experience working with Large Language Models and building RAG architectures.
• Familiarity with BIM, IFC and graph databases.
• Familiarity with Computer Vision techniques.
• Strong research experience, specifically in past research projects related to robotics or scenegraphs is required
• Strong written and oral communication skills.
• Open to fixed term contract.

Apply now