Research Associate

Job description

Working Title: Research Associate

Position Type: Professional Research Staff

Department: Department of Biomedical Engineering

Location: Charlottesville

Posting Date: 06-13-2018

Posting Summary:
The Department of Biomedical Engineering at the University of Virginia seeks multiple Research Associates to work in the laboratory of Dr. Gustavo Rohde to perform research on computational predictive modeling, and image and signal analysis with applications to biomedical imaging, cancer detection, signal analysis and others. The Research Associates will be expected to design, implement, and test mathematical algorithms for solving problems related to image reconstruction, signal and image classification, and bioinformatics.

Candidates must hold a PhD in Biomedical Engineering, Electrical and Computer Engineering, Computer Science, or a closely related discipline by the start date. Candidates must also show evidence of research productivity (e.g., papers, patents, presentations, etc.), and have the ability to implement computer algorithms. To apply, visit and search on Posting Number 0623483. Complete a candidate profile on-line; attach a CV, cover letter, contact information for three references and a statement of Research Interest. The position will remain open until filled.

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. UVA is an affirmative action and equal opportunity employer. We welcome nominations of and applications from women, members of minority groups, veterans and individuals with disabilities. We also welcome others who would bring additional dimensions of diversity to the university's research and teaching mission. We believe diversity is excellence expressing itself through every person's perspectives and lived experiences.

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Job No:
Posted: 10/13/2018
Application Due: 12/12/2018
Work Type: