Research Intern in Medical Computer Vision
1. Design, develop and validate algorithms for Parkinson's patient evaluation and grading system tasks including but not limited to vision-based hand pose estimation, human action recognition, and body motion tracking；
2. Work closely with doctors to understand their needs and workflow. Develop prototypes that assist physicians in PD motion assessment and making proper treatment plans；
3. Pursue high-impact publications and invention patents.
Qualifications:
1. PhD in medical image analysis, computer vision, machine learning or other related fields；
2. Proficient in python , experiences with OPENCV toolboxe and various deep learning platforms such as tensorflow, caffe, pytorch, and keras.