Research Fellow (Dept of Ophthalmology)

Interested applicants are invited to apply directly at the

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NUS

Career Portal

Your

application will be processed only if you apply via

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NUS

Career Portal

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 :

Independently conduct deep / machine learning in medicine

or fundamental deep / machine learning projects under instruction by

the PI

Oversee the general management of the

projects.

Provide administrative and

secretarial support to the project, such as organizing regular

meetings to maintain regular communication with other members of

the research team

Maintain the highest

standard of professional conduct and record keeping in accordance

with policies and procedures.

Assist with any

other duties of a similar nature that are delegated by the

PI.

Competencies

Clearly

communicates Faculty's / Department's

policies

Faculty members' concerns are handled

well by the incumbent and his / her team of

administrators

Qualifications

The

applicant should : holds a PhD degree

and higher in computer science, engineering, biomedical

informatics, data science, or related disciplines.

be able to work independently and in a team, have an

investigative nature, attention to detail.

have strong knowledge of deep / machine learning or

biomedical informatics.

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 the NUS Career

Portal.

We regret that only shortlisted

candidates will be notified.