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Safety and Resilience Research Unit

Centre for Project and Facilities Management (CPFM)

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Current Projects

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Research Areas

Featured Projects

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Computer vision for site safety and housekeeping

Using computer vision technologies to enhance the safety of construction sites by automatically detect hazardous activities and poor housekeeping, and alert site personnel.

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Adaptive learning for professional development

An online learning platform that provides personalised learning to learners of different academic background to achieve the same set of learning outcomes in project management.

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Modelling self-regulated learning using multi-modal data

Using real-time multi-modal analysis including EEG and eye-tracking to study the self-regulated learning of adult construction professionals in online training environment.

PhD Scholarship Opportunity

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    Area of Research

    Project management, construction management, lean construction, safety management, machine learning

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    Department

    Department of the Built Environment, College of Design and Engineering

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    Period of Scholarship

    4 year full-time; Scholarship to start in August 2025 or January 2026

Scholarship Overview

  • For full-time PhD studies only
  • Stipend per month for 4 years:
    • Singapore Citizens: S$3,500 + CPF
    • Singapore Permanent Residents (SPR): S$3,100
    • Non-Singaporeans/Non-PRs: S$2,700
  • S$500 top-up after passing PhD Qualifying Examination (applicable to all students)
  • Tuition Fee Subsidies for 4 years
  • TOEFL is required if medium of instruction at University if not English
  • GRE is not required, but encouraged
  • Non-Singaporeans/ non-PRs need to fulfil 416 hours under the Graduate Assistantship Programme
  • Diversity is a major consideration

Requirements

  • Excellent bachelor’s (at least Honours (Distinction) or equivalent and above) and/or master’s degree in construction management, civil engineering, or related field;
  • IELTS (≥94) or TOEFL (≥7.0) is required if the medium of instruction at the university is not English
  • Knowledge of lean construction, safety management, and machine learning methods;
  • Willing to learn, independent and responsible; and
  • Strong English writing and communications skills.

Interested parties may email your resume, publications, and dissertation (if applicable) to the Principal Investigator, A/P Goh, Yang Miang (+65 6601 2663). The position will be open until filled or 30 June 2025 (whichever is earlier).

Free Resources

IES-NUS Design for Safety (DfS) Library for Designers: Construction and Maintenance Design Risks

A curated library supporting designers with practical examples of construction and maintenance design risks, DfS considerations, and recommended design intervention.

Digital Game-Based Learning (DGBL) Dataset and Toolkit

A comprehensive dataset and toolkit to support the design, implementation, and evaluation of digital game-based learning for training and education.

Adaptive Learning for Professional Development Toolkit

A practical toolkit designed to support the development and implementation of adaptive learning systems for personalised, data-driven professional development in the built environment.

Recent Articles

Beyond compliance: A two-axis model of design for safety implementation in mandatory contexts.

Lim, M. S. H., Tang, Y., Du, S., & Goh, Y. M. (2025).

Feature weights in contractor safety performance assessment: Comparative study of expert-driven and analytics-based approaches.

Kam, S. H., Lan, T., Sun, K., & Goh, Y. M. (2025).

Change detection network for construction housekeeping using feature fusion and large vision models.

Sun, K., Shao, Z., Goh, Y. M., Tian, J., & Gan, V. J. L. (2025).

Construction professionals’ perspectives of adaptive learning adoption: An SEM-machine learning approach.

Hu, X., Goh, Y. M., & Tay, J. (2024).

Predicting trucking accidents with truck drivers’ safety climate perception: An in-depth evaluation of the pretrain-then-finetune approach.

Sun, K., Lan, T., Kam, S. H., Goh, Y. M., & Huang, Y.-H. (2024).

Authentic learning questionnaire for digital simulation games in higher education: A construction safety case study.

Safiena, S., & Goh, Y. M. (2024).

Design for safety training for construction professionals: A digital game-based learning approach.

Tay, J., Safiena, S., Lan, T., Lim, M. S., & Goh, Y. M. (2024).