MRI Research Associate: Brain Imaging & ML Methods

University of Virginia; Charlottesville (VA); On-site; USD 63,000 - 77,000; Full time

Job summary

The University of Virginia's Department of Electrical and Computer Engineering is seeking a research associate to advance fast MRI methods for brain imaging. This NIH-funded position supports development of high-resolution brain relaxometry and MR spectroscopic imaging using machine learning.

The one-year appointment, with renewal contingent on funding and performance, will develop MRI pulse sequences, theory and algorithms, publish results in high-impact journals, and mentor graduate and

Qualifications

• Ph.D. required by start date.
• Experience in signal processing, machine learning, and MRI needed.

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

Skills

Signal processing

Machine learning

MRI

Education

PhD in electrical engineering, biomedical engineering, or applied math

Job description

The University of Virginia's Department of Electrical and Computer Engineering is seeking a research associate to advance fast MRI methods for brain imaging. This NIH-funded position supports development of high-resolution brain relaxometry and MR spectroscopic imaging using machine learning.

The one-year appointment, with renewal contingent on funding and performance, will develop MRI pulse sequences, theory and algorithms, publish results in high-impact journals, and mentor graduate and