Research Scientist of Radiology & Medical Imaging

Job description

Working Title: Research Scientist of Radiology & Medical Imaging

Position Type: Professional Research Staff

Department: Department of Radiology

Location: Charlottesville

Posting Date: 04-12-2018

Posting Summary:
The Department of Radiology & Medical Imaging's Research Division is seeking candidates for a full-time Research Scientist position. The successful candidate will be responsible for developing algorithms for non-invasive assessment of dynamic cardiac and brain PET images of rodent and human hearts and brains. This will include optimization of multi-parameter, multi-compartment tracer kinetic models and application of machine learning (deep learning), segmentation and signal processing algorithms for quantifying myocardial metabolism in rodent hearts and differentiating tumor types in human brains from dynamic PET images non-invasively. The candidate must have understanding and experience with imaging features and pattern recognition applications, in-depth knowledge of digital image processing with Matlab, C++, OpenCV, and algorithms within computer vision and machine learning (deep learning) domain and hands on coding experience of brain tumor detection and segmentation with deep learning (Convolutional Neural Networks) algorithms.

A Ph.D. in Engineering with specialization in pattern recognition and intelligent systems, Science or related background is required at the time of hire. At least three (3) years of post-doctoral professional experience with biomedical image analysis is also required. Qualified candidates must have experience providing leadership to small groups and must be able to work independently once objectives are defined and methods of approach have been set.

To apply, visit and search on posting number 0623042. Complete a candidate profile online and attach a CV, cover letter, and contact information for three references.

For additional information about the application process, contact Nicole Vaughan at [email protected] For additional information about the position, please contact Bijoy Kundu at [email protected]

The position will remain open until filled.

The University of Virginia is an equal opportunity and affirmative action employer. Women, minorities, veterans, and persons with disabilities are encouraged to apply.

E-mail a Friend:





Diversity Profile: University



View more

Learn more on Inside Higher Ed's College Page for University

Arrow pointing right
Job No:
Posted: 4/13/2018
Application Due: 5/18/2018
Work Type: