Working Title: Assistant Professor
Position Type: Teaching and Research Faculty
Department: Department of Biomedical Engineering
Posting Date: 01-02-2017
The University of Virginia (UVA) invites applications for a non-tenure-track, Research Assistant Professor in MRI and machine learning. The faculty position will have an appointment in the Department of Biomedical Engineering. UVA has a strong culture of collaboration and collegiality, facilitated by the physical proximity of the School of Engineering and Applied Science and the School of Medicine. Example areas of current research strength include medical imaging and cardiovascular research. Successful candidates will join this exciting research environment, and help support an energetic and well-funded research program. Compensation is dependent upon qualifications and experience.
A PhD in Biomedical Engineering or a related field is required by the start date of the position. Competitive applicants will have grant-writing experience, technical expertise in MRI technique development and machine learning, and experience in real-time MRI and deep learning applied to medical imaging. The individual will join a research program to help lead experimental programs in cardiac MRI and MR-guided focused ultrasound surgery.
UVA is committed to building a culturally diverse community and strongly encourages applications from underrepresented groups. UVA supports dual career opportunities. UVA is situated in the beautiful foothills of the Blue Ridge Mountains in Charlottesville, Virginia and is close to Washington, D.C. Charlottesville consistently ranks among the top cities in which to live and work. UVA is consistently ranked as a top public university.
To apply, visit http://jobs.virginia.edu and search on Posting Number 0622398. Complete a Candidate Profile online and attach a cover letter, curriculum vitae, statement of research interest, and contact information for three references. The position will remain open to applicants until filled.
For questions about the position, please contact Dr. Craig Meyer via email at firstname.lastname@example.org. For questions about the application process, please contact Crystal Lamm via email at email@example.com or telephone at 434-243-6906.
The University of Virginia is an Equal Opportunity/Affirmative Action Employer. Women, minorities, veterans and persons with disabilities are encouraged to apply.
E-mail a Friend: jobs.virginia.edu/applicants/Central?quickFind=83556