
Research Fellow
1 day ago
**Posting Start Date**:08/05/2025
The NUS Safety and Resilience Research Unit (SaRRU) is seeking a highly motivated Research Fellow (RF) to join our multidisciplinary team. The RF will work on the research project **"Modelling Self-Regulated Online Learning: Video
- and Digital Game-Based Learning (VBL and DGBL) for Construction Professionals."** This project aims to investigate the self-regulated learning (SRL) subprocesses of online learners in the context of construction education, leveraging advanced learning analytics, machine learning, and deep learning techniques.
- Conduct literature review on topics related to the project;
- Conduct experiments using EEG, eye tracker, video cameras, learning management system and other relevant instruments;
- Collect and clean data obtained from the experiments;
- Design and develop algorithms to identify and predict SRL subprocesses from multimodal learning data (e.g., EEG/fNIRS, eye-tracking, and think-aloud protocols);
- Analyze large-scale learning analytics data to uncover SRL patterns in video-based learning (VBL) and digital game-based learning (DGBL) environments;
- Conduct process mining and network analysis to differentiate SRL patterns between high
- and low-performing learners;
- Contribute to data visualization, interpretation, and the preparation of high-quality research publications;
- Write other research papers, reports and proposals;
- And any other tasks required by the principal investigator.
**Job Requirements**
- A PhD within the fields of computer science, learning analytics, engineering, statistics, mathematics, construction management or related field;
- Strong expertise in machine learning, deep learning, and data mining;
- Experience with multimodal data analysis (e.g., eye-tracking, EEG, fNIRS) is highly desirable
- Proficiency in Python, R, or similar programming languages;
- Experience with network analysis, process mining, and time-series data analysis is a plus
- Strong analytical, problem-solving, and communication skills
- Ability to work independently and collaboratively in a multidisciplinary team; and
- Strong English writing and communication skills.
**More Information**
Location: Kent Ridge Campus
Organization: College of Design and Engineering
Department : The Built Environment
Employee Referral Eligible: No
Job requisition ID : 28845
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