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.