Medical Imaging Intern

Job Description

Primary Function of Position

The candidate will work with a top-notch, multi-disciplinary R&D team to develop medical imaging, computer vision, surgical planning, and navigation software for the Ion robotic bronchoscope.  

We are seeking a talented individual to research and develop algorithms for computer vision and medical imaging. Expected contributions include literature surveys, algorithm design and implementation, and testing on clinical datasets.

Essential Job Duties

• Experiment with different computer vision and machine learning models for medical imaging.

• Prototype algorithms and evaluate performance.

• Draft reports and presentations.

Qualifications

Required Skills and Experience

• Deep understanding and hands-on experience in computer vision, medical imaging, and machine learning

• Knowledge and experience in one or multiple areas: image segmentation / registration / reconstruction / camera pose estimation / SLAM / generative AI.

• Proficiency in programming using C++ or Python

• Familiar with one or more tools and libraries: OpenCV, PyTorch / TensorFlow, ITK / VTK.

• Strong verbal and written communication skills

• Passion for developing technologies to improve the lives of patients and physicians.

• Self-motivated, self-disciplined, able to work independently.

• Ability to perform fast prototyping iterations; thinking outside the box to solve practical problems.

University Hiring Program Eligibility Requirements:

• University Enrollment: Must be currently enrolled in and returning to an accredited degree-seeking academic program in the Fall.

• Internship Work Period: Must be available to work full-time (approximately 40 hours per week) during a 10-12 week period starting May or June. Specific start dates are shared during the recruiting process.

Required Education and Training

• Current enrollment in a Biomedical Engineering, Computer Science, Mechanical Engineering, Electrical Engineering or related degree-seeking program at the Doctorate level. Master's level students would also be considered based on specific relevant experience.