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Research Intern in Medical imaging

UII America, Inc.

Research Intern in Medical imaging

Cambridge, MA
Paid
  • Responsibilities

    UII America, Inc., a subsidiary company of Shanghai United Imaging Intelligence Healthcare Co. Ltd. (UII), is building an organization of highly-motivated, talented and skillful AI experts and software developers to strengthen our R&D power and address the need of our innovative products in the USA market. United Imaging Intelligence (UII) is committed to providing AI solutions for medical devices, imaging, and diagnosis – to helping clients better understand and embrace AI. United Imaging Intelligence is led by two world-renown leaders in the AI industry. Together, they will lead UII in focusing on “empowerment” and “win-win.” UII empowers doctors and equipment in order for doctors and hospitals to win, for research institutions to win, and for third-part companies to win. UII America, Inc. is building a world-class research and development team in Cambridge, MA.We have an immediate opening for Research Internship in the following areas:Artificial Intelligence\Medical Imaging(Medical) Computer Vision. The candidate is expected to approach technical challenges enthusiastically and exhibit a strong desire to learn and apply new technologies to accomplish the assigned tasks.Main ResponsibilitiesWork with senior experts in the area of Medical Imaging and conduct state-of-the-art research in the field. Expect to learn and experience in conducting top-tier research in a collaborative team-working environment. Strong work during the internship may result in practical product solutions or strong publications.Be ambitious to lead the changes in future Healthcare with innovations.Qualification RequirementsCurrently pursuing a MS or PhD Degree in Computer Science, Computer Engineering, Biomedical Engineering, Statistics, Applied Mathematics, or other related fields. Proven track record of publications in the related fields is a plus.Knowledge in medical imaging analysis or computer vision.Experience in solving medical imaging problems using artificial intelligence is a plus.Familiar with C/C++ and Python.Experience using Deep Learning frameworks such as TensorFlow, PyTorch, Caffe, Caffe2, or MxNet.Demonstrated problem solving, self-motivating, and critical thinking skills.