Research Intern in Medical imaging

4 weeks ago

Burlington, United States United Imaging Intelligence Full time

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. UII is a subsidiary of United Imaging Healthcare Technology Group (UIH Group). Since its founding in 2017 in Shanghai, UII has been delivering various artificial intelligence (AI) solutions to medicine and helping in transforming the way healthcare is being delivered. UII has become a prominent international medical AI company that empowers smart equipment, supports biomedical research, and provides total solutions to clinical workflow from screening, diagnosis, treatment to follow-up assessment. UII America, Inc. is building a world-class research and development team in Boston, 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 Responsibilities

  • Work 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 Requirements

  • Currently 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.

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