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The Network Systems Science & Advanced Computing (NSSAC) Division of the Biocomplexity Institute & Initiative at the University of Virginia is seeking motivated, enthusiastic, self-driven postdoctoral associates for multiple positions in machine learning, data analytics, and high-performance computing. The Biocomplexity Institute performs world-class informatics research in life sciences, social sciences, and human health by integrating theory, modeling and simulation with computational and experimental science in a transdisciplinary, team science research environment. The NSSAC Division uses information science to create solutions for complex societal problems. Our simulation systems are critical to the success of detecting new threats, natural and man-made, and planning strategic responses. Application areas include computational epidemiology, computational biology, computational social science, and more.

This position provides the opportunity to work with a large team of researchers working on a diverse range of projects ranging from genomic analysis to large-scale simulations of social systems. The postdoctoral researcher will work on developing novel machine learning, data analytics, and HPC methods and will contribute to multiple projects funded through DARPA, NSF, NIH, NASA, IARPA, and others.

Required Qualifications:

Preferred Qualifications:

To Apply:

PROCESS FOR INTERNAL UVA APPLICANTS: Please apply through your Workday Home page, search “Find Jobs”, and search for “Biocomplexity" to access available positions. Complete an application online and see below for documents to attach.

PROCESS FOR EXTERNAL APPLICANTS: Please visit UVA job board https://uva.wd1.myworkdayjobs.com/UVAJobs, complete the application and see below for documents to attach. 

Please note that multiple documents can be uploaded in the box or you can combine them into one PDF. Applications that do not contain all of the required documents will not receive full consideration

Required Application Documents:

In addition, please send these materials to this email address: [log in to unmask].

Review of applications will begin on September 6, 2019 and will continue until the position is filled.

For questions about the application process, please contact Savanna Galambos, Faculty Search Advisor, at [log in to unmask].

This position is a restricted position and is dependent upon project need, availability of funding, and performance.  The University will perform background checks on all new hires prior to employment.

The position will be based in Charlottesville, VA, USA. Charlottesville is home to Thomas Jefferson’s Monticello and the University of Virginia, and is nestled in a valley surrounded by the picturesque Blue Ridge Mountains ideal for hiking, mountain biking, and fishing. It has the best of both worlds: a college town vibe and energy juxtaposed to a chic, cosmopolitan atmosphere given the numerous restaurants, rooftop bars, breweries and wineries, boutique stores, theaters, and entertainment venues you’ll find on the pedestrian Downtown Mall and surrounding area. Charlottesville also has its fair share of cultural events and festivals, but if you ever need a big city boost, hop on Amtrak to Washington, D.C. or New York for a weekend getaway. Guaranteed, you always will be glad to come back.

To learn more about the Biocomplexity Institute and the Network Systems Science & Advanced Computing Division, please visit us at biocomplexity.virginia.edu

The University of Virginia, including the UVA Health System and the University Physician’s Group 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, 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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