Role overview
Canon Medical Research USA, Inc. (CMRU) is a multi-modality R&D organization creating next-generation medical imaging systems. It is equipped with cutting-edge instrumentation, prototyping, hardware labs and scientific computing facilities to perform research targeted to pre-clinical and clinical CT, PET, MRI, X-ray and Ultrasound systems. For those who like to develop new technologies and research new ways of using them, Canon is a rewarding place to work, due to its focus on innovation as the lifeblood of new products.
CMRU is committed to recognizing and appreciating the variety of characteristics that make individuals unique in an atmosphere that promotes work/life balance and celebrates individual and collective achievement. We are especially interested in qualified candidates who can contribute, through their experience, education, research and/or service, to the diversity and excellence of our organization and to the scientific and engineering community at large. We offer a great work environment, including a hybrid work schedule.
What you'll work on
- Develop advanced algorithms to address complex research problems in Computed Tomography.
- Investigate Deep-Learning based method to solve challenging image reconstruction or image processing tasks.
- Design and implement advanced algorithms for next-generation products, such as Photon Counting CT.
- Summarize work in the form of reports and presentations.
What we're looking for
- The ideal candidate is a full-time graduate student at an accredited college or university working towards an M.S. or Ph.D. in Biomedical Engineering, Electrical Engineering, Computer Science, Medical Physics, Physics or related field in STEM.
- Students must be eligible to work in the U.S.
- Strong background in image reconstruction, signal and image processing, machine learning, and computer vision.
- Good understanding of X-ray physics and system. Familiar with spectral CT/Photon-counting CT related system design, calibration and image formation chain is a plus.
- Hands on experience in AI/Deep Learning is strongly preferred. Familiar with at least one neural network training framework such as PyTorch or TensorFlow.
- Knowledge of CT clinical applications and anatomy is a plus.
- Strong analytical and programming skills in languages such as C/C++/Python/MATLAB, etc.