Interested applicants are invited to apply directly at the NUS Career Portal
Your application will be processed only if you apply via NUS Career Portal
We regret that only shortlisted candidates will be notified.
Job Description
Project: Unraveling biological and imaging ocular biomarkers for high and pathologic myopia
- Set up and optimize guinea pig breeding colony with proper frequency and intensity of lighting and housing structures to result in rapidly induce staphyloma formation
- Perform survival guinea pig surgeries
- Perform longitudinal in vivo measurements on preclinical models, which would include ocular injections, autorefraction, keratology, pupil responses, ocular ultrasound, optical coherence tomography
- Perform retinal histology and immunohistochemical assays
- Analyze imaging data from both preclinical and clinical studies (e.g. using MatLab or Python)
- Manage these research projects in a team-based, cross functional research environment, which include supervising students, 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.
- Support in grant writing
- Attend and present research findings and papers at academic and professional conferences, and to contribute to the external visibility of the department.
- Draft research reports and support in grant writing for Principal Investigators.
- Undertake such specific roles and management functions as may be reasonably required by the Principal Investigators/Directors.
- Attend meetings and participate in other committees and working groups within NUS (where necessary).
Qualifications
- Ph.D. in Biomedical Engineering, Computer Science, Computer 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. LabVIEW, MATLAB, Python)
- Able to work independently, as well as in a team-based, cross-functional research team
Formal application: Please submit your application, indicating current/expected salary, supported by a detailed CV (including personal particulars, academic and employment history, complete list of publications/oral presentations and full contacts of three (3) referees to this job portal.
We regret that only shortlisted candidates will be notified.
