Post-doctoral Fellow in Developing Deep Learning Method for Image-based Clinical Decision Support
- Employer
- University of Hong Kong
- Location
- Hong Kong
- Salary
- Salary Not Specified
- Date posted
- Jul 29, 2022
View more
- Position Type
- Faculty Positions, Health & Medicine, Medicine, Other Health & Medicine, Surgery, Science, Technology & Mathematics, Biotechnology & Bioengineering
- Employment Type
- Full Time
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Ref.: 515862
Work type: Full-time
Department: Department of Diagnostic Radiology, School of Clinical Medicine (20500)
Categories: Academic-related Staff
Hong Kong
Applications are invited for appointment as Post-doctoral Fellow in Developing Deep Learning Method for Image-based Clinical Decision Support Program in the Department of Diagnostic Radiology, School of Clinical Medicine (Ref.: 515862), to commence as soon as possible for one year, with the possibility of renewal subject to satisfactory performance and funding availability.
Applicants should have a Ph.D. degree in Computer Science, Medical Physics, Biomedical Engineering, or related disciplines. They should be self-driven, highly motivated, creative with excellent communication skills in written and spoken English. The research aims at developing an AI method for Image-based Clinical Decision Support Programs (including image processing, segmentation, quantification, lesion-detection, workflow-enhancement, and disease-risk-prediction). Applicants should have experience in computer vision, programming, and medical imaging. The appointee will work in a multidisciplinary environment that requires exceptional research and problem-solving skills. He/She will also be provided with the opportunity to work on state-of-the-art deep learning techniques. Enquiries about the post can be sent to Professor K.Ty Bae at baekt@hku.hk .
A highly competitive salary commensurate with qualifications and experience will be offered, in addition to annual leave and medical benefits.
The University only accepts online application for the above post. Applicants should apply online and upload an up-to-date C.V. Review of applications will start from August 12, 2022 and continue until October 28, 2022 , or until the post is filled, whichever is earlier.
Advertised: Jul 29, 2022 (HK Time)
Applications close: Sep 28, 2022 (HK Time)
Work type: Full-time
Department: Department of Diagnostic Radiology, School of Clinical Medicine (20500)
Categories: Academic-related Staff
Hong Kong
Applications are invited for appointment as Post-doctoral Fellow in Developing Deep Learning Method for Image-based Clinical Decision Support Program in the Department of Diagnostic Radiology, School of Clinical Medicine (Ref.: 515862), to commence as soon as possible for one year, with the possibility of renewal subject to satisfactory performance and funding availability.
Applicants should have a Ph.D. degree in Computer Science, Medical Physics, Biomedical Engineering, or related disciplines. They should be self-driven, highly motivated, creative with excellent communication skills in written and spoken English. The research aims at developing an AI method for Image-based Clinical Decision Support Programs (including image processing, segmentation, quantification, lesion-detection, workflow-enhancement, and disease-risk-prediction). Applicants should have experience in computer vision, programming, and medical imaging. The appointee will work in a multidisciplinary environment that requires exceptional research and problem-solving skills. He/She will also be provided with the opportunity to work on state-of-the-art deep learning techniques. Enquiries about the post can be sent to Professor K.Ty Bae at baekt@hku.hk .
A highly competitive salary commensurate with qualifications and experience will be offered, in addition to annual leave and medical benefits.
The University only accepts online application for the above post. Applicants should apply online and upload an up-to-date C.V. Review of applications will start from August 12, 2022 and continue until October 28, 2022 , or until the post is filled, whichever is earlier.
Advertised: Jul 29, 2022 (HK Time)
Applications close: Sep 28, 2022 (HK Time)
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