The Spatial Information Design Lab at the Graduate School of Architecture, Planning, and Preservation (GSAPP) is seeking candidates for full-time Associate Research Scientists/Scholars focusing on Data Visualization and Data Science. The jobs involve working on “The Advanced Data Visualization Project” beginning November 2012 through August 2013, with the possibility of renewal of contract. This is an interdisciplinary project being hosted at the GSAPP at Columbia University, and is being directed by Laura Kurgan, Associate Professor of Architecture and Director of the Spatial Information Design Lab, and David Benjamin, Assistant Professor of Architecture and Director of The Living Architecture Lab at GSAPP.
Responsibilities will include mining and analyzing “big data,” processing and possibly collecting data, and/or visualizing data in compelling and innovative ways. The work may include:
a. working with professors across diverse disciplines in the University including Architecture and Urbanism, Journalism, Law, Statistics, Biology, Neuroscience, and Computer Science, as well as with data from Thomson/Reuters,
b. participating in an exhibition or publication project that will conclude the year’s work.
Job requirements include a select combination of excellent visual design skills; data management and data analysis skills; proficiency with web development tools; experience with machine learning tools; conceptual familiarity with data sets of diverse sources; strong oral and written communication skills; careful attention to detail and persistent pursuit of accuracy and consistency; demonstrated experience with collaborative research; and supervisory experience.
Please let us know whether you consider yourself a Data Scientist, or a Data Visualization Specialist or a combination of these two. Candidates must have a Masters degree, or the equivalent, and two-three years related work experience. Master's level training in architecture, computer science, graphic design, spatial analysis, urban planning, or a related field is greatly preferred.
Please visit our online application site at
for further information about this position and to submit your application. You will be asked to submit your letter of interest, cv, four web links which demonstrate your work, or four 8.5 x 11 pages as a pdf to this link. Review of applications will begin immediately.
Columbia University is an Equal Opportunity/Affirmative Action Employer.