Healthcare is one of the most promising research directions in artificial intelligence(AI) for industry, public health and academia, and AI-driven solutions have the potential to make significant impact in society by enabling better patient management through improved diagnosis and treatment.
The Singapore National Eye Centre/Singapore Eye Research Institute (SNEC/SERI), in collaboration with Nanyang Technological University (NTU), is seeking a highly qualified individual to take on a significant role in this exciting and rapidly developing research direction at the cross-roads of healthcare and artificial intelligence.
He/ She will be expected, but not limited to:
- Develop machine-learning and deep-learning solutions to address current clinical challenges, including segmentation, detection, and prediction, through the use of large-scale medical/ophthalmic images and data from state-of-the-art clinical platforms.
- Perform research in medical image processing and develop novel approaches to multimodal imaging (2D and 3D) using imaging systems ranging from current clinical systems to novel imaging prototypes.
- Conduct and coordinate research within SNEC/SERI and NTU in line with its research strategy and under the direction and supervision of the Principal Investigators and Collaborators.
- Manage these research projects in a team-based, cross-functional research environment, which include supervising doctoral and master students, research assistants, and technical and other support staff.
- Publish research outcomes in appropriate journals of international standing and to publish and disseminate the result of research and scholarship in other reputable outlets.
- Attend and present research findings and papers at academic and professional conferences, and to contribute to the external visibility of the department.
- Draft research report for Principal Investigators.
- Undertake specific roles and management functions as may be reasonably required by the Principal Investigators.
- Attend meetings and to participate (where necessary) in other committees and working groups within SNEC/SERI and NTU.
- Ensure compliance with health and safety in all aspects of work.
Job Requirements
- Ph.D. in Computer Science, Computer Engineering, Electrical or Information Engineering, Biomedical Engineering, or related discipline.
- Previous experience in OCT, software development in OCT and OCT signal analysis would be an advantage.
- Possess good programming and image processing skills (e.g., MATLAB, Python).
- Able to work independently, as well as in a team-based, cross-functional research team.
