Two Post-Doc Positions: Deep Learning-based Medical Image Computing
Company/Institution: Shanghai Jiao Tong University, China
Locations: Shanghai, China
Recently years witnessed the unprecedented success of deep learning in medi-cal image analysis research. The translation of such a success to clinical interventions requires to address various challenges that currently limit the applicability of deep learning including difficulty in quantification of uncertainty of a deep learning algorithm, availability of limited labeled data and existence of different imaging protocols. Funded by Shanghai Jiao Tong University, we have two 100% position for research on deep learning-based medical image computing. We closely work with clinicians in related fields and have already collected large data sets with expert annotations. We have already acquired a number of computers equipped with high-end GPUs for large scale experiments and we have a team of talented PhD students working on developing deep learning algorithms.
We are look for a creative and enthusiastic researcher with a PhD degree in Computer Science, Data Science, Biomedical Engineering or related fields, with a strong track-record in machine learning and deep learning as well as their applications in medical image analysis or computer vision tasks. Good communication skills and expertise in software development, preferably in Python/C++, are essential. Having strong knowledge about one of the existing deep learning frame-works such as Caffee, Tensorflow or PyTorch will be preferred.
Conditions of employment:
The initial employment duration will be two years but can be extended to five years after a positive evaluation. The annual salary will be around $50,000.0 plus fringe benefits in Shanghai, China.
Interested candidates should send their applications to:
Prof. Dr. Guoyan Zheng
Institute of Medical Robotics
Shanghai Jiao Tong University
Tel. +86 130 6273 0961