Research Fellow (LLM for Construction Safety)

Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Fellow-%28LLM-for-Construction-Safety%29/32518-en_GB/

We regret that only shortlisted candidates will be notified.

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.