Description

About Us.

The University of Virginia is seeking innovative and collaborative applicants to join the Contagion Science Program. This unique and novel research program is a prestigious strategic research initiative funded by the University through its Prominence-to-Preeminence STEM Targeted Initiatives Fund. The Biocomplexity Institute serves as the program's organizing unit with a broad and comprehensive partnership of the University of Virginia Schools of Engineering and Applied Science (SEAS), Data Science (SDS), Medicine (SOM), and the College of Arts & Sciences (A&S). This initiative is designed to foster pan-university leadership and excellence in contagion science research and education.

For more information about the Contagion Science program and the Biocomplexity Institute please visit: https://contagion-science.virginia.edu and https://biocomplexity.virginia.edu.

The Role.

This is a tenure-track position at the rank of assistant professor, made in coordination with a tenure-granting school. While the Biocomplexity Institute will serve as the administrative home for this role, the tenure home will be one of the partner schools in an appropriate department and will be determined through applicant review and the interview process. Dependent upon qualifications and experiences, the tenure-track appointment will be associated with one of the following partner schools:

• School of Engineering (SEAS)
• The College of Arts & Sciences (A&S)
• School of Data Science (SDS)
• School of Medicine (SOM)

The new Contagion Science team member will contribute to the creation and promulgation of a research roadmap that leverages new and existing theoretical frameworks, concepts, and research ideas to address the interconnected nature of contagious phenomena, observed in computer sciences and related fields. Teaching and service activities will also be a key component of the role, governed by the policies of whichever partner school is established as the tenure home.

As a part of the role within the Biocomplexity Institute, the contagion science team member will have a unique opportunity to explore the application of multidisciplinary data sciences, network systems modeling, computer science and engineering, machine learning or graph modeling and mining, interfacing with biological and health sciences, as well as social, behavioral, and economic sciences. Complementing individual research activity, incumbents will advance cross-disciplinary educational and training opportunities for diverse audiences, fostering an interest in and an increased understanding of mechanisms and characteristics underlying concepts of contagion.