Singapore Eye Research Institute

Research Fellow (Bioengineering & Devices)

Job Category:  Research
Posting Date:  08-Mar-2023

Established in 1997, SERI is Singapore’s national research institute for ophthalmic and vision research. SERI’s mission is to conduct high-impact eye research that prevents blindness, low vision and major eye diseases common to Singaporeans and Asians. Over the last decade, SERI has conducted landmark research projects that have led to tangible outcomes, patient benefits, and success stories. It has paved the way for significant improvements in how eye diseases are treated and prevented, not just for Singaporeans or Asians, but on a global scale.


SERI has grown from a founding team of five in 1997 to a faculty of more than 238 staff, encompassing clinician scientists, scientists, research fellows, PhD students and support staff. This makes SERI one of the largest research institutes in Singapore, as well as the largest eye research institute in the Asia Pacific region. SERI has also over 230 adjunct faculties from various eye departments, biomedical institutes and tertiary centres in Singapore. SERI has published an impressive array of 4,504 scientific papers, and has secured external peer-reviewed competitive grants worth more than $360 million. As of August 2021, SERI’s faculty has been awarded with more than 755 national and international prizes and filed 145 patents.


Are you searching for an opportunity to apply/develop your skills and expertise? Joining the SERI family would provide you the chance to join a global team and learn alongside with one of the top and globally renowned researchers, as well as develop your knowledge and skills further in a friendly and team-oriented working environment!


Job description:

We are looking for a bright, dynamic, and highly motivated individual to perform research in translational biomechanics with applications to glaucoma and other ophthalmic disorders. For more information about our Laboratory, please visit:


The proposed study aims to predict vision loss progression from glaucoma – a blinding ocular disorder for which mechanisms are far from being understood. Glaucoma is characterized by cell loss within the optic nerve head (ONH) at the back of the eye. Our recent work suggests that cellular death could be the result of a biomechanically deficient ONH. Thus, we hypothesize that in-vivo measurements of ONH biomechanics can be used to predict vision loss progression. To test such a hypothesis, the successful candidates are expected to contribute to a longitudinal study, in which ONH biomechanics and vision performance will be continuously quantified over a period of 5 years in glaucoma patients. The strength of this work lies in the combined use of state-of-the-art AI & Engineering tools, and carefully selected at-risk populations.


Specifically, the successful candidates will use, improve, and develop a series of algorithms and models to assess ONH biomechanics in vivo and to predict structural and functional damage in glaucoma. Such algorithms will be applied to 3D images of the eye (such as those captured with OCT, OCTA, MRI, and Ultrasound). Finite element models (incorporating Growth & Remodeling) will be developed for making predictions about connective tissue damage and axonal loss. AI algorithms (e.g. geometric deep learning) will be used to assess the structural and biomechanical signature of glaucoma (and of all sub-types). We will study how such signatures could help us predict the patients that are most at risks of fast vision-loss progression. These algorithms will have wide applicability to other optic neuropathies and myopia.       


In addition, the candidates will have access to the biggest biomechanical data-set available worldwide for the posterior part of the eye (n=1,000). Note that this project is also part of a large multidisciplinary grant (S$25M) that is currently funded by NMRC to make a significant impact in the field of glaucoma.


Minimum Requirements:

  • Candidates with PhDs in Biomedical Engineering, Computer Science, Mechanical Engineering, Civil Engineering, or other related disciplines are encouraged to apply
  • Excellent programming skills and strong knowledge of recent deep learning techniques are required.
  • Strong foundation in continuum mechanics. Knowledge of the Finite Element Method, Virtual Fields Method, and optical coherence tomography is considered a plus. No background in ophthalmology is required.


The successful candidate can expect a competitive remuneration package that commensurate with qualifications and experience. He/She can additionally be assured of a fulfilling and challenging career in a fast-paced and dynamic organization. We strongly encourage continuous education and development through our in-house training programmes and external courses.