Research Associate in Electrical and Computer Engineering

Go VCE; Charlottesville (VA); On-site; USD 80,000 - 100,000; 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 within the CBIG. The NIH-funded project focuses on high-resolution relaxometry and MR spectroscopic imaging using machine learning, with collaboration across clinical researchers.

The appointment is one year with potential renewal; responsibilities include developing MRI pulse sequences, theory and algorithms, publishing results, and

Qualifications

• Ph.D. in electrical/biomedical engineering or applied mathematics by the start date.
• Experience in signal processing, machine learning, and MRI.
• Strong publication record in imaging or related fields.

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

Ph.D. in electrical engineering, biomedical engineering, or applied math

Job description

The Department of Electrical and Computer Engineering at the University of Virginia is accepting applications for research associate position for fast magnetic resonance imaging (MRI) methods for brain MRI.

The Computational Biomedical Imaging Group (CBIG) pursues research on the development of new algorithms for the reconstruction and post-processing of medical images. Active research areas include image reconstruction, image analysis, and quantification. Research efforts are taking place at two complementary levels: the development of mathematical tools for imaging, and applied projects in collaboration with clinical researchers for magnetic resonance imaging.

The position will be funded by NIH awards on high-resolution brain relaxometry and MR spectroscopic imaging using machine learning; candidates with experience in these areas 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

QUALIFICATIONS

• 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.

APPLICATION DEADLINE

Review of applications will begin on September 15, 2026, but the position will remain open until filled. The University will perform background checks on all new hires prior to employment.

This is a one-year appointment, and the appointment may be renewed contingent upon available funding and satisfactory performance.

For questions about the position, please contact Mathews Jacob, Professor, at [e-mail]

For questions regarding the application, please contact Rich Haverstrom, Academic Recruiter, at [e-mail].

A competitive salary and benefits package is offered at University of Virginia. For more information on the benefits available to postdoctoral associates at UVA, visit postdoc.virginia.edu and hr.virginia.edu/benefits

The University of Virginia is an equal opportunity employer. All interested persons are encouraged to apply, including veterans and individuals with disabilities. Learn more about UVA's commitment to non-discrimination and equal opportunity employment.