Research Fellow (AI in medicine) x 1
Date: 25-Feb-2023
Location: ENGINEERING, Kent Ridge Campus, SG
Company: National University of Singapore
Job Description
The laboratory for medical image data sciences at the National University of Singapore (https://bieqa.github.io) is searching for a postdoctoral scholar. The lab focuses on cutting-edge research at the intersection of neuroimage and genetics, developing and applying AI technology to large neuroimage and genetic data for precision psychiatry.
The laboratory has great computing capacity, including multiple M40, V100, A100 GPU systems for deep learning, and computing clusters for large data set processing. In addition, our laboratory has 5000TB medical image data that are sufficient for precision psychiatry.
The postdoctoral fellow will work on developing AI and geometric deep learning approaches. Issues to be explored include imbalanced data, scalability, transfer, self-supervision, etc., in prediction, inference, and planning, with applications in medical images.
Job Requirements
• Possess a PhD
• Proven with good track record of publications at major machine learning, AI, or closely related conferences and journals.
• Good written and oral communication.
• Open to fixed term contract
Covid-19 Message
At NUS, the health and safety of our staff and students are one of our utmost priorities, and COVID-vaccination supports our commitment to ensure the safety of our community and to make NUS as safe and welcoming as possible. Many of our roles require a significant amount of physical interactions with students/staff/public members. Even for job roles that may be performed remotely, there will be instances where on-campus presence is required.
Taking into consideration the health and well-being of our staff and students and to better protect everyone in the campus, applicants are strongly encouraged to have themselves fully COVID-19 vaccinated to secure successful employment with NUS.
More Information
Location: Kent Ridge Campus
Organization: Engineering
Department : Biomedical Engineering
Employee Referral Eligible: No
Job requisition ID : 18753