Research Fellow (Dept of Ophthalmology)

Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.

NUS Career Portal link - https://careers.nus.edu.sg/job/Research-Fellow-%28Dept-of-Ophthalmology%29/34415-en_GB/?st=0B18AC6D2E618FFBD8325A7A7366F3CE3827B968

We regret that only shortlisted candidates will be notified.

Job Description

The National University of Singapore invites applications for Research Fellow in the department of Ophthalmology, Yong Loo Lin School of Medicine. The department’s current data science efforts focus on building consciousness inspired by machine learning to improve generalization and robustness of AI in medicine. The department has strong computational and medical expertise and a significant amount of medical data and computational resources. Appointments will be made on a 1-year contract basis in the first instance, with the possibility of extension.

Purpose of the post

The post doc fellow will be responsible for, and work closely with, the Principal Investigator and study team members to ensure the successful completion of the machine learning projects on time. The principal role will be to work on AI and/or big data analytics projects such as modeling building and algorithm development.

Main duties and responsibilities

The post doc fellow will liaise with the relevant personnel in department to smooth the process of research and will be accountable to the Principal Investigator (PI) and will be able to:

1. Independently conduct deep/machine learning in medicine or fundamental deep/machine learning projects under instruction by the PI
2. Oversee the general management of the projects.
3. Provide administrative and secretarial support to the project, such as organizing regular meetings to maintain regular communication with other members of the research team
4. Maintain the highest standard of professional conduct and record keeping in accordance with policies and procedures.
5. Assist with any other duties of a similar nature that are delegated by the PI.

Qualifications

The applicant should:

1. holds a PhD degree and higher in computer science, engineering, biomedical informatics, data science, or related disciplines.
2. be able to work independently and in a team, have an investigative nature, attention to detail.
3. have strong knowledge of deep/machine learning or biomedical informatics.
4. have experiences in the fundamental deep/machine learning or deep/machine learning in medicine

Remuneration will be commensurate with the candidate’s qualifications and experience.

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 NUS Career Portal.

We regret that only shortlisted candidates will be notified.