College of Information Sciences and Technology, The Pennsylvania State University

Position ID:The Pennsylvania State University-College of Information Sciences and Technology-DS [#7821, 66391]
Position Title: Faculty Postions Data Sciences- Material/Life Science/General
Position Type:Tenured/Tenure-track faculty
Position Location:University Park, Pennsylvania 16802, United States [map]
Subject Areas: Informatics
Data Science
Computer Science
Appl Deadline:2017/01/31 (posted 2016/09/06, listed until 2017/03/31)
Position Description:    

The College of Information Sciences and Technology (IST) at The Pennsylvania State University invites applications for multiple faculty positions at the rank of Assistant or Associate Professor as part of a multi-year faculty hiring initiative in the Data Sciences. We seek candidates with a strong track record of fundamental and applied research in machine learning, big data management, and big data analytics. Of particular interest are candidates specializing in large-scale machine learning (including network analytics, tensor methods, probabilistic graphical models, high-dimensional data analysis, temporal, spatial, and spatio-temporal data analysis, multi-modal data analysis, text analytics, image analytics, large-scale reinforcement learning), causal inference, information integration, data semantics, or large-scale reinforcement learning who complement the current research strengths within the College and across the university in the Data Sciences. We welcome applications from exceptional candidates with a variety of disciplinary backgrounds (e.g., Computer Science, Statistics, and Informatics), and interdisciplinary interests (e.g., Life Sciences, Health Sciences, Cognitive Sciences, Brain Sciences, Social Sciences). Successful candidates will be expected to develop a strong externally funded research program and contribute to graduate and undergraduate education and training in the Data Sciences. In addition to multiple positions covering a broad range of specializations in the Data Sciences and their interdisciplinary applications, we have two specific opportunities in: (i) Big Data Life Sciences (especially Integrative Genomics, Metabolomics, Microbiomics, Infectious Disease Dynamics Modeling and Control), for co-hire with the Huck Institutes of the Life Sciences; and (ii) Big Data Material Sciences (especially Characterization and Prediction of Processing-Structure-Property-Performance relationships of materials, Computational Discovery of Materials, Materials Simulation, Materials Data Management and Analytics) for co-hire with the Materials Research Institute. IST offers a highly collaborative interdisciplinary research environment, strong research programs in Artificial Intelligence, Data Sciences, Informatics, Human-Computer Interaction, Information Security and Privacy, and Socio-Technical Systems, a strong Ph.D. program (with over 100 Ph.D. students), and several highly successful undergraduate programs (including one in Data Sciences, offered in cooperation with Statistics and Computer Science). IST faculty and students enjoy extensive opportunities for interdisciplinary collaborations with colleagues from a wide range of disciplines as well as a number of university-wide cross-cutting centers and institutes (e.g., The Center for Big Data Analytics and Discovery Informatics, the Institute for Cyberscience, the Huck Institutes of the Life Sciences, the Social Science Research Institute, the Materials Research Institute, and the Institute for Energy and the Environment.). The NIH-funded Clinical and Translational Sciences Institute, the NSF-funded North East Big Data Innovation Hub (wherein Penn State is one of the 5 lead institutions) and Interdisciplinary Graduate Training Programs in Bioinformatics and Genomics and in Biomedical Data Sciences (both funded by NIH), and in Social Data Analytics (funded by NSF) offer additional opportunities for collaborative research and graduate education. TO APPLY, visit please upload only basic personal information. IN ADDITION, interested applicants should submit the following material to their cover letter detailing relevant qualifications for this job, a resume or curriculum vitae, 2-5 page research statement, 1-2 page teaching statement, and 3-5 letters of reference. Review of applications will begin on November 1, 2016, and continue until the position is filled. Inquiries about the position may be directed to The Pennsylvania State University is the land grant institution of Pennsylvania. University Park is the largest of Penn State’s 24 campuses, with undergraduate enrollment of approximately 44,000 students and offering more than 150 programs of graduate study. In the 2013 institutional rankings of total research expenditures in science and engineering released by the National Science Foundation, the university, placed 17th overall nationally, and was tied with the Massachusetts Institute of Technology, for the 2nd position, with respect to the number of disciplines in which it is ranked among the top ten. The College of IST has award-winning faculty and state-of-the-art facilities. Both faculty and students are dedicated to collaboration and applying knowledge to make our lives better. University Park is located in Pennsylvania and is located in State College PA, ranked the 3rd safest metropolitan area in the United States by CQ Press, and the 8th best college towns in the nation by Best College Reviews. CAMPUS SECURITY CRIME STATISTICS: For more about safety at Penn State, and to review the Annual Security Report which contains information about crime statistics and other safety and security matters, please go to, which will also provide you with detail on how to request a hard copy of the Annual Security Report.

Penn State is an equal opportunity, affirmative action employer, and is committed to providing employment opportunities to all qualified applicants without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.

Application Materials Required:
Submit the following items online at this website:
And anything else requested in the position description.

Further Info:
332 IST Bldg.
University Park, PA 16802

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