Research Associate in Electrical and Computer Engineering
About The Position
The Department of Electrical and Computer Engineering at the University of Virginia is seeking a Research Associate for fast magnetic resonance imaging (MRI) methods for brain MRI. The Computational Biomedical Imaging Group (CBIG) focuses on developing new algorithms for medical image reconstruction and post-processing, including image reconstruction, image analysis, and quantification. Research is conducted at two levels: developing mathematical tools for imaging and applied projects in collaboration with clinical researchers for MRI. This position is funded by NIH awards for high-resolution brain relaxometry and MR spectroscopic imaging using machine learning.
Requirements
- A Ph.D. in electrical engineering, biomedical engineering, or applied math is required by the start date.
- Experience in signal processing, machine learning, and MRI is needed.
Nice To Haves
- Candidates with experience in high-resolution brain relaxometry and MR spectroscopic imaging using machine learning are encouraged to apply.
Responsibilities
- Develop MRI pulse sequences for fast MRI
- 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
Entry Level
Education Level
Ph.D. or professional degree
