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Research Assistant Professor Position in Data-Intensive Applications at the University of Pittsburgh

Posted by Hannah Remmert on 11/27/2017 15:57 UTC

Research Assistant Professor Position in Data-intensive Applications

The Center for Research Computing (CRC) at the University of Pittsburgh invites applications for a Research Assistant Professor position (outside the tenure stream) in Data-intensive Applications. You should have a PhD in computer science, information science, bioinformatics, or a related discipline, with experience working in Big Data. We are looking for people with expertise in some of the following areas:
-Machine learning
-Hadoop and Spark
-Data exploration and visualization
-Data analytics using R, Python, SAS, Matlab
-Graph analytics
-Image analysis
-Predictive analytics in social media

CRC is dedicated to supporting and facilitating computational-based research across the University. It serves as a catalyst for collaboration, education and outreach and provides consultation and research collaboration to faculty and students in a wide range of disciplines. Primary roles for this position include contributing to evolving the vision of the Center, and assisting faculty, postdocs, and students in effectively applying our advanced computing systems for deriving insights from their data. As teaching is integral to our mission, strong verbal and written communication skills are a requirement.

Are you interested in making an impact? If so, please submit a CV and a cover letter to Wendy Janocha ( The cover letter can be addressed to Ralph Roskies, Associate Vice Chancellor for Research Computing, and should specifically address how your background, experience, and career goals align with the responsibilities of this position. The search will continue until the position is filled. Final appointment to this position will be contingent on receipt of three strong letters of recommendation on your behalf.

University of Pittsburgh is an Affirmative Action/Equal Opportunity Employer and values equality of opportunity, human dignity and diversity. EEO/AA/M/F/Vets/Disabled