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A Level B Postdoctoral Research Fellow is expected to make contributions to the research effort of the university, particularly at the postgraduate level and to carry out activities to develop her/his scholarly, research and/or professional expertise relevant to the profession or discipline.

This position is based at Main Campus, Bandar Sunway

Reporting line: The position reports to Director of Research Excellence

Supervisory responsibilities: Not applicable

Financial delegation and/or budget responsibilities: Not applicable

1. Research and Algorithm Development
   Develop, implement, and optimize advanced deep learning and machine learning algorithms for analysing large-scale sensing data generated by fiber optic monitoring systems in railway environments.
2. Data Analytics and Signal Processing
   Process and analyse time-series and distributed sensing data (e.g., strain, vibration, temperature) captured by fiber optic sensors to extract meaningful features related to railway conditions.
3. Anomaly Detection and Predictive Modelling
   Design and implement anomaly detection models to identify early signs of abnormalities or faults in railway infrastructure and operations.
4. Model Training and Optimization
   Train, validate, and optimize deep learning models using real-world datasets, ensuring high accuracy, robustness, and computational efficiency.
5. Integration with Sensing Systems
   Work closely with the research team to integrate AI models with fiber optic sensing platforms for near real-time monitoring and decision support.
6. Data Management and Experimentation
   Manage large experimental datasets, conduct experiments, and evaluate algorithm performance through systematic benchmarking and validation.
7. Research Dissemination
   Prepare high-quality journal publications, conference papers, and technical reports related to railway monitoring, fibre optic sensing, and AI-driven anomaly detection.
8. Collaboration with Research and Industry Partners
   Collaborate with multidisciplinary researchers, engineers, and industry stakeholders involved in railway monitoring and intelligent infrastructure systems.
9. Supervision and Mentoring
   Assist in supervising postgraduate students and research assistants involved in the project.

Grant and Project Support
Contribute to the preparation of research proposals, project reports, and presentations to funding agencies and project partners.