Research Fellow

6 days ago

Singapore College of Design and Engineering Full time

**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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