***** To join INSNA, visit http://www.insna.org ***** The Network Systems Science & Advanced Computing (NSSAC) Division of the Biocomplexity Institute & Initiative at the University of Virginia is seeking 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: Applicants must have received or be on track to receive a PhD in Artificial Intelligence, Machine learning, high-performance computing, or in a very closely related field by May of 2019 and must hold a PhD at the time of appointment. Preferred application areas include urban science and analytics, biosystems and social sciences. Experience programming in java, python, or C++ Excellent communication skills, both oral and written, demonstrated through the development of publications and delivery of presentations. Desired Qualifications: Research experience with big data, multi-scale simulation systems and machine learning Experience with databases and computing on clusters. Programming for parallel computing In addition, the candidate must be motivated, enthusiastic, self-driven and have demonstrated the ability to work in a highly collaborative team science environment. TO APPLY: Upload the following materials at https://urldefense.proofpoint.com/v2/url?u=https-3A__uva.wd1.myworkdayjobs.com_UVAJobs-28Requisition&d=DwIF-g&c=pZJPUDQ3SB9JplYbifm4nt2lEVG5pWx2KikqINpWlZM&r=uXI5O6HThk1ULkPyaT6h2Ws3RKNKSY__GQ4DuS9UHhs&m=V958kJVj44f6lltEEZ33Vvcio5-pn2DrbQmpWVteqpY&s=0_CGpeH4twqM3-_55mBaE-A5FR7BoJcSQBMj3rKFIf4&e= number R0003518): Cover Letter detailing your relevant experience and interest in the position and summary of your coursework CV Contact information for three references In addition, please have three confidential letters of reference sent to this email address: [log in to unmask] Review of applications will begin on March 7, 2019 and will continue until the position is filled. This is a restricted position based upon the continued availability of funding. 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 For questions about the application process, please contact Savanna Galambos, Faculty Search Advisor, at [log in to unmask] _____________________________________________________________________ SOCNET is a service of INSNA, the professional association for social network researchers (http://www.insna.org). To unsubscribe, send an email message to [log in to unmask] containing the line UNSUBSCRIBE SOCNET in the body of the message.