Assistant Professor of Network Data Science
Job no: 504602
Position Type: Faculty Full Time
Campus: UMass Boston
Department: CSM - Dean's Office
Date opened: Eastern Standard Time
The College of Science and Mathematics (CSM) at the University of Massachusetts Boston invites applications for two tenure-track positions, and possibly three depending on financial resources, in the general area of Network Data Science. These positions, at the level of Assistant Professor and beginning September 1, 2020, are the initial steps in our effort to build a cluster in Network Data Science that will complement other CSM groups already involved in data science research. We consider Networks broadly, encompassing a variety of complex systems and data types, ranging from the Internet to social, biological, biochemical, and ecological systems. These tenure-track positions will be located in the departments of Mathematics, Biology, or Computer Science. The successful candidates must possess a Ph.D. in one of these disciplines or a closely related field, and are expected to conduct a strong research program and interact with members of the other departments in Network Data Science. For more information please see www.umb.edu/academics/csm
To apply, upload a cover letter; curriculum vitae; a statement of current research, vision and future research plans; and a description of teaching experience and future teaching plans. You should arrange for at least three referees to submit letters of recommendation to the search committee. The review of applications will begin immediately and continue until the position is filled. For full consideration, applications should be received by February 28, 2020.
Located on Boston Harbor, the University of Massachusetts Boston offers undergraduate, Master’s, and Ph.D. programs in almost 90 fields of study. It serves a diverse population of 16,000+ students and is nationally recognized as a model of excellence for urban public universities. Faculty have many opportunities for interdisciplinary research and collaboration, e.g., in the physical, biological, environmental and computational sciences.
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