We are seeking a highly motivated PhD student to join an interdisciplinary FRGS-funded research project focusing on anomaly detection in wearable data and AI-driven healthcare analytics. The research integrates smart wearable data, anomaly detection, and advanced deep learning models to predict stroke risk among survivors using swarm-based Spatio-Temporal Graph Neural Networks (ST-GNNs).
This project involves close collaboration between computer science researchers and medical professionals, providing access to real-world clinical data and opportunities for impactful, translational healthcare research.
Details:
- Position: Grant Research Assistant (GRA) - PhD Student
- Grant Title: Anomaly Detection and Data-Driven Prediction of Stroke Risk in Survivors using Swarm-based Spatio-Temporal Graph Neural Network (ST-GNN)
- PhD Program: You must register for a PhD degree program as part of this role.
- Monthly Allowance: up to RM 2,800 (based on qualifications and experience)
- Project Duration: 3 years
- Location: Faculty of Computer Science & Information Technology, Universiti Malaya and Pusat Perubatan Universiti Malaya (PPUM)
Responsibilities:
- Conduct experiments, data analysis, and model evaluation
- Develop and implement deep learning models for anomaly detection and stroke risk prediction
- Work with smart wearable and clinical datasets
- Design and optimize swarm-based ST-GNN architectures
- Prepare manuscripts for high-impact journals and conferences - at least 3 publications are expected
- Collaborate with multidisciplinary research teams across academia and healthcare
Requirements:
- Master's degree in Computer Science, Engineering, Artificial Intelligence in Healthcare, or a closely related field
- Commitment to pursuing a PhD degree during the assistantship.
- Professional proficiency in English, both written and spoken
- Ability to work independently with minimal supervision
- Strong analytical thinking and problem-solving skills
- Good academic writing and communication abilities
If this opportunity aligns with your interests and qualifications, please send your updated CV to [Confidential Information] at your earliest convenience. We look forward to reviewing your application and considering you for this position.
Feel free to reach out if you have any questions or require more information.
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