CT Research Scientist Intern Vernon Hills, IL

About the role

CT Research Scientist Intern

Vernon Hills, IL, US

Salary Range: $31.00 To $37.00 Hourly

The ADVANCE Program is a structured program with goals and expectations designed to provide students with an opportunity to gain hands-on work experience by participating in significant work projects. Students will take on assignments throughout the term related to CMRU project needs depending on their skills and interests. The goal of these activities is to make important contributions to CMRU programs while at the same time significantly advancing the students professional and personal development.

SUMMARY OF POSITION

CMRU is looking for one qualified intern to join our Computed Tomography (CT) research department where the student will participate in exciting projects using latest technology for medical imaging. Students will be mentored by leading experts in the field to gain hands-on experience to develop and validate products, explore the full potential for various clinical applications and features, and contribute to the next generation of spectral CT system. This internship offers a great opportunity to see how your research ideas can come to life and make a difference in countries around the world.

RESPONSIBILITIES

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.

QUALIFICATIONS

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.