Research Associate (Ocular Imaging Research Group)

About SERI

SERI, the research arm of SNEC, was established in 1997 with the mission to conduct high-impact eye research that prevents blindness, low vision and major eye diseases in Singapore. Till date, SERI has conducted landmark research projects that have led to tangible outcomes, patient benefits and success stories. It has been paving the way for significant improvements in how eye diseases are treated and prevented, not just within Singapore but on a global scale.

By joining SERI, you can:

• Work with a Purpose: Meaningful impact towards improving patients’ lives through research
• Maximise your Potential: Opportunity towork with global and top researchers at one of Singapore’s largest researchinstitutes and be engaged in continuous learning and development opportunities
• Be Connected and Cared for: People-centric environment thatsupports your personal well-being guided by our core values of Compassion, Integrity, Collaboration

What you'll do:

He/ She will be expected, but not limited, to:

• Use novel imaging tools to study the optical coherence tomography (OCT) images of participants;
• Perform data analysis, image processing and modelling on novel ocular imaging data;
• Compile data, summarize and interpret results of the analysis in reports and journal articles;
• Collaborate with other imaging- and data scientists to derive and validate novel image-based algorithms to examine structural and functional visual components;
• Conduct research within SNEC/SERI and NTU in line with its research strategy and under the direction and supervision of the Principal Investigators and Collaborators;
• Actively participate in these research projects in a team-based, cross-functional research environment;
• 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 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.

What you will need to have:

• Master of Biomedical Engineering, Computer Science, Computer Engineering or related discipline;
• Previous experience in statistics, OCT, image analysis and software development in OCT and OCT signal analysis would be anadvantage;
• Possess good programming and image processing skills (e.g. MATLAB, Python);
• Previous experience in medical image analysis and software development;
• Able to work independently, as well as in a team-based, cross-functional research team.

Note: Package offered will commensurate with qualification and experience.