• Performing research, development and evaluation of methodologies and systems for solving inverse problems in medical imaging (MR, CT, US, X-ray, PET, SPECT etc.) tasks

• Creating scalable prototypes for applications in the medical and customer service domains

• Generating intellectual property and scientific manuscripts to showcase novel reconstruction applications in top-ranked journals/conferences 

• Collaborating with senior R&D and Business stakeholders on integration of prototypes within current and new products

• Identifying and applying problem-solving skills in addressing scientific and business challenges of interest to the company

• Demonstrates and applies a broad knowledge of machine learning and deep learning

• Demonstrates research experience working on inverse problems in imaging, image science and medical imaging 

• Expertise in digital signal and image processing

• Proficient in deep learning frameworks such as Pytorch, TensorFlow, Keras, etc.

• Demonstrates strong background in math / physics

• Demonstrates strong hands-on experience in Python programming

• Familiar with fundamental concepts, practices, and principles of software development, version control, and scalable infrastructure/platforms

• Able to work well as individual contributor and within a multidisciplinary team

• PhD in computer science or related discipline (or master’s and currently in a PhD program)

• Provides track record of publications & presentations at top-tier conferences / competitions