Research Associate in Biomedical Engineering

Job description

Job location: Charlottesville, VA


Employment Type: Full-time
Posted data: 2020-10-07
Req: R0018801

The Department of Biomedical Engineering at the University of Virginia seeks a postdoctoral Research Associate to work in the laboratory of Dr. Craig Meyer and Dr. Xue Feng. Our laboratory is active primarily in the areas of magnetic resonance imaging, medical image analysis, and machine learning. Duties for this position will include developing signal and image processing algorithms related to cardiac magnetic resonance imaging. The research will include developing software to process experimental data and developing neural networks to analyze the data. The candidate will write conference and journal publications, interact with clinicians, and assist in training graduate students.

QUALIFICATION REQUIREMENTS: Candidates must have a PhD degree in Biomedical Engineering, Computer Science, Electrical Engineering or a closely related discipline. Must have experience aligning with the above list of interests – preferably in relation to close familiarity with signal and image processing. The successful applicant will have a tangible track record as assessed by first author publications, awards or fellowships.

This is a one-year appointment; however, the appointment may be renewed for an additional two, one-year increments, contingent upon available funding and satisfactory performance.

Priority review of applications will begin on October 17, 2020, but the position will remain open until filled.

TO APPLY:

EXTERNAL APPLICANTS: please apply through Workday at the following URL, https://uva.wd1.myworkdayjobs.com/UVAJobs , and search for requisition # R0018801. Complete an application online and attach a cover letter, CV/resume, and contact information for three references (name, email address, telephone number, and address). The successful candidate will pass a criminal background check. Please note that multiple documents can be uploaded in the box.


INTERNAL UVA APPLICANTS: please apply through your Workday Home page, search “Find Jobs”, and search for requisition # R0018801. Complete an application online and attach a cover letter, CV/resume, and contact information for three references (name, email address, telephone number, and address). The successful candidate will pass a criminal background check. Please note that multiple documents can be uploaded in the box.

For questions regarding this position, contact Craig Meyer, Professor, at cmeyer@virginia.edu.

For questions regarding the application process, contact Michelle Williams, Faculty Search Advisor, at mew8js@virginia.edu.

For more information on the benefits available to postdoctoral associates at UVA, visit postdoc.virginia.edu and hr.virginia.edu/benefits.

Charlottesville is a pleasant college town with a high quality of life in terms of both city and outdoors/nature experiences. The UVA Biomedical Engineering department is a dynamic and successful enterprise that is well supported by a $25M Coulter Partnership Endowment.

With one of the highest graduation rates of minority undergraduate students and one of the highest percentages of women engineering students among public universities, the University of Virginia is fundamentally committed to increasing the diversity of its faculty and staff.

The University of Virginia, including the UVA Health System which represents the UVA Medical Center, Schools of Medicine and Nursing, UVA Physician’s Group and the Claude Moore Health Sciences Library, are fundamentally committed to the diversity of our faculty and staff. We believe diversity is excellence expressing itself through every person's perspectives and lived experiences. We are equal opportunity and affirmative action employers. All qualified applicants will receive consideration for employment without regard to age, color, disability, gender identity or expression, marital status, national or ethnic origin, political affiliation, race, religion, sex (including pregnancy), sexual orientation, veteran status, and family medical or genetic information.

 

 

 

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Job No:
Posted: 10/8/2020
Application Due: 1/6/2021
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