Applications for all faculty searches are continuing to be accepted! Review started January 12, 2018. Please apply as soon as possible.
The University of Pittsburgh (Pitt) is undertaking an ambitious multi-year plan to create a School of Computing and Information (SCI) that will serve as the nexus of computing and information throughout Pitt. SCI was launched in July 2017, with the appointment of Paul Cohen, previously with DARPA, as Founding Dean. SCI aims to create and harness data-driven technology, science and expertise to improve the safety, security, robustness, performance and understanding of complex, interacting natural, social and engineered systems for the betterment of the world. Predictive modeling and insightful analysis for evidence-based decision-making, in the context of these interacting systems, is key to this mission.
SCI has multiple openings at all levels, in all areas of computing and information research and education. These positions offer exciting opportunities to be a part of a new academic unit that aspires to be an international leader in agile and trans-disciplinary methods to solve problems and make discoveries of the greatest importance. Individuals will have the chance to play a leading role in developing this academic unit, which can act as a model for other universities to also transform themselves around computing and information.
For the tenure track, SCI seeks individuals who think and work across traditional boundaries and who see themselves as dynamic cross-disciplinary players. While individuals working in fundamental areas of computing and information are encouraged to apply, SCI recognizes that expertise fulfilling its mission may fall outside of these areas, and the School strongly encourages individuals working in relevant non-traditional areas to also apply. Topics of particular interest include, but are not limited to, domain-oriented modeling and analysis; computationally- and data-driven causal methods for scientific and medical discovery; secure, robust and high-performance frameworks for modeling and management of interacting systems; and, theory and methods of knowledge reuse through data management, stewardship and reproducibility, as well as socio-technical systems and the nature of human interaction with information and data.
We also aim to jointly fill a tenure-track position with Pitt’s Learning Research and Development Center (LRDC). This center is advancing the science of learning in an established multi-disciplinary setting, where learning is studied in its cognitive, neural, social and organizational aspects, making research and development links to formal education practice, policy and out-of-school settings. For this position, we seek a researcher–educator who uses computing or information science to address issues of learning and education, particularly from a systems viewpoint. This person would join a small, collaborative core of current faculty who have expertise in artificial intelligence applied to learning and reasoning, computational linguistics, knowledge representation, natural language learning, and spoken language dialogues. Exemplary specialties could include, among others, the use of big data in educational improvement, AI in education, technology-enhanced learning, natural language applications for education, personalized learning, and computational thinking and education. While all candidates with relevant experience will be considered, we are particularly interested in individuals at the advanced Assistant or Associate Professor levels, who have an established research program in an area related to learning and education.
The University of Pittsburgh (Pitt) recently created a new School of Computing and Information (SCI) to be the nexus of computing and information at Pitt. SCI has many openings for non-tenure track positions that offer careers and paths for advancement in teaching across a spectrum of areas, which includes rethinking curricula to reflect emerging concepts, conducting research, and developing activities for the deep entwinement of new skills in computing and information into other disciplines. Such programs are essential to train polymaths who understand and apply the abstractions that unite disciplines. As SCI transitions to a four-year school and creates new undergraduate and graduate degree programs, individuals filling these openings will have the chance to develop and teach curricula in many areas, including computer science, information science, information culture, and data stewardship. In addition, we are seeking individuals with competencies and experience in cybersecurity for an anticipated new institute for professional education. SCI’s leadership, faculty, and staff value the importance of and need for diversity and inclusion within computing and information. Candidates from underrepresented populations, as well as those experienced with diverse students and commitments to inclusion are especially encouraged to apply for these openings.
Non-tenure track positions are also available. These positions are renewable and offer exciting career paths to teach and develop novel undergraduate programs, including the rethinking of curriculum to reflect emerging concepts, new skills and the deep entwinement of computing and information into other disciplines. Such programs are essential to train polymaths who understand the abstractions that unite disciplines, and can apply these concepts. As SCI transitions to a four-year undergraduate program, individuals filling these openings will have an opportunity to develop curriculum that teaches polymathic concepts beginning from a student’s first day in the School.
About our Location
Pittsburgh is a vibrant hub of education, technology and medicine, with many startups and established companies throughout the region. Pittsburgh 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. The Wall Street Journal recently ranked the University of Pittsburgh as the top public university in the Northeast, and SCI has numerous connections to other centers, institutions and companies in Pittsburgh, including the University of Pittsburgh School of Medicine, the Center for Causal Discovery, the Pittsburgh Supercomputing Center, the Center for the Neural Basis of Cognition, Google, Uber, Oculus, Carnegie Mellon University and many others. Through these connections, there are ample opportunities to collaborate broadly and build multi-disciplinary research teams of the highest caliber. More information about these entities and the Pittsburgh region are available from the School of Computing and Information’s Web site, LRDC’s Web site, and the City of Pittsburgh’s Web site to bring Amazon’s Headquarters to the region.
To apply, please provide the following information:
- A cover letter indicating the position for which you are applying and a brief explanation of how your interests align to the position
- A curriculum vitae
- A research statement describing your current and future research
- A teaching statement describing your teaching philosophy
- The names of at least four recommenders
The application portals for the following positions will be available on December 1, 2017.
If you wish to apply for more than one of these position types, please complete an application for each one.
- For tenure-track positions, a PhD is required.
- For non-tenure track positions, an MS is required, and a PhD is strongly preferred.
Application review will begin immediately and applications will be accepted until all positions are filled. For full consideration, please apply by January 12, 2018. The anticipated start date is August 1, 2018.
Questions about the search and/or application status should be emailed to firstname.lastname@example.org.
Nominations and inquiries for senior openings may be sent in confidence to Bruce Childers, Associate Dean for Strategic Initiatives and Professor.
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.