Research Scientist in Electrical and Computer Engineering
About The Position
The Department of Electrical and Computer Engineering at the University of Virginia is accepting applications for a research scientist position focused on machine learning methods for magnetic resonance imaging (MRI). The Computational Biomedical Imaging Group (CBIG) conducts research on developing new algorithms for the reconstruction and post-processing of medical and biological images. Active research areas include image reconstruction, image analysis, and quantification. Research efforts involve developing mathematical tools for imaging and applied projects in collaboration with clinical researchers for MRI.
Requirements
- A Ph.D. or a Master’s degree with significant experience in electrical engineering, biomedical engineering, or applied math is required by the start date.
- Experience in signal processing, machine learning, and MRI is needed.
- Experience in high-resolution brain relaxometry, free-breathing cardiac MRI, and MR spectroscopic imaging using machine learning is encouraged.
Nice To Haves
- PhD degree is preferred
Responsibilities
- Develop novel theory, algorithms, and demonstrate its application to MR imaging
- Publish results in high-impact journals
- Mentor graduate and undergraduate students
Benefits
- A competitive salary and benefits package is offered at University of Virginia.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
