Overview
The Laboratory for Medical Image Data Sciences at the National University of Singapore (NUS) is actively seeking two postdoctoral researchers specializing in machine learning and geometric deep learning models. This opportunity is significant for those looking to advance their careers in a cutting-edge research environment focused on medical imaging applications.
Background & Relevance
Machine learning, particularly in the context of medical imaging, is a rapidly evolving field that leverages advanced algorithms to improve diagnostic processes and patient outcomes. Geometric deep learning, a subfield that deals with data represented in non-Euclidean spaces, is crucial for tackling complex medical data. The research at NUS aims to address various challenges in this domain, making it a vital area of study for improving healthcare technologies.
Key Details
- Positions Available: 2 postdoctoral researchers
- Institution: National University of Singapore
- Research Focus: Geometric deep learning, addressing issues such as imbalanced data, scalability, transfer learning, self-supervision, and applications in medical image prediction, inference, and planning.
- Computing Resources: Access to multiple M40 and V100 GPU systems and extensive medical image datasets (2000T) for deep learning applications.
Eligibility & Participation
Candidates must hold a Ph.D. and possess a strong publication record in major machine learning, AI, or closely related conferences. Good communication and writing skills in English are essential for this role. This position is ideal for researchers looking to deepen their expertise in machine learning applications in the biomedical field.
Submission or Application Guidelines
Interested applicants should send their CV and a list of previous publications to:
Dean’s Chair, Associate Prof. Anqi QIU
Deputy Head for Research & Enterprise
Department of Biomedical Engineering
National University of Singapore
Email: bieqa@nus.edu.sg
Phone: +(65) 6516 7002
Additional Context / Real-World Relevance
The integration of machine learning in medical imaging is transforming the healthcare landscape, enabling more accurate diagnostics and personalized treatment plans. The research conducted at NUS is poised to contribute significantly to this field, addressing critical challenges and pushing the boundaries of what is possible with AI in medicine.
Conclusion
This is an excellent opportunity for qualified candidates to join a leading research team at NUS. Interested individuals are encouraged to apply and contribute to groundbreaking research in machine learning and medical imaging.
Category: PhD & Postdoc Positions
Tags: machine learning, deep learning, medical imaging, geometric deep learning, NUS, AI, biomedical engineering, data science
