Tenure-Track Faculty Positions

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The School of Computing and Information (SCI), the newest school at the University of Pittsburgh, aims to create and harness data-driven technology, science, and expertise to improve the security, performance, and understanding of complicated, interacting natural, social, and engineered systems. Predictive modeling and insightful analysis for evidence-based decision-making, in the context of these interacting systems, is key to our mission. As we build and expand the school, it is crucial that we continue and strengthen our leadership in addressing underrepresentation by fostering a diverse, inclusive, and equitable environment for students, faculty, and staff.

SCI has multiple positions available in the tenure-track at the Assistant Professor, Associate Professor, and Full Professor ranks. The specific area is open for all positions. We especially seek individuals who think and work across traditional boundaries and who see themselves as dynamic, cross-disciplinary team players. We are motivated to bring together scholars to collaboratively address complex challenges and who will contribute to the school's mission of modeling and managing complicated, interacting systems. Individuals working on transdisciplinary aspects of computing and information are encouraged to apply. Topics of particular interest include, but are not limited to, domain-oriented modeling and analysis; computationally- and data-driven causal methods; quantum information science; computing and information ethics, policy, economics, and governance; secure, equitable, and responsive frameworks for modeling and decision making; theory and methods of knowledge reuse; as well as socio-technical systems and the nature of human interaction with information and data.

Advancement of SCI's mission also requires deep expertise in traditional areas of computer, information, and library science, and we encourage applications from individuals working across the entire spectrum of research in these disciplines, including but not limited to artificial intelligence; Internet of Things; social informatics; data management; data visualization; scientific reproducibility; machine learning; cloud and high-performance computing; cyber-physical systems; security and privacy; and others.

A PhD is required for all tenure-stream positions. Interested individuals can find full application instructions at http://www.sci.pitt.edu/recruiting.

About the School of Computing and Information and Pittsburgh

As a new school, we are working to develop and expand upon many exciting initiatives. In collaboration with multiple units at Pitt and other leading organizations in the region, we have launched the Modeling and Managing Complicated Systems (momacs) Institute. Our faculty are involved in developing numerous interdisciplinary research programs, launching a first year-admitting undergraduate program, creating joint academic programs at both the undergraduate and graduate levels, and creating a new Professional Institute to close critical skills gaps by providing specialized education to working professionals. Learn more at www.sci.pitt.edu.

Pittsburgh is a vibrant hub of education, technology, and medicine, with many startups and established companies throughout the region. The region offers an exceptionally high quality of life, with low cost housing, excellent secondary schools, abundant outdoor activities, and rich cultural attractions well beyond other cities of its size. SCI has numerous connections to centers, institutions, and companies in the region, including the School of Medicine, Carnegie Mellon University, the City of Pittsburgh, the Center for Causal Discovery, the Center for Energy, the Pittsburgh Supercomputing Center, the Center for the Neural Basis of Cognition, Google, Uber, Oculus, Argo AI, and many others. Through these connections, there are ample opportunities to collaborate broadly and build multi-disciplinary research teams of the highest caliber.

The University of Pittsburgh is an affirmative action and equal opportunity employer and does not discriminate on the basis of age, color, disability, gender, gender identity, marital status, national or ethnic origin, race, religion, sexual orientation, or veteran status.

 


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