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Position Detail

Organization: University of Chicago
Title: Computational Scientist
Location: Chicago, IL
Application Deadline: 2018-11-18
Posted: 2018-05-25

Position Description:

86755 Research Computing Center
About the Unit​
The University of Chicago Research Computing Center (RCC), a unit in the Office of the Executive Vice President for Research, Innovation and National Laboratories (RINL), provides high-end research computing resources to researchers at the University of Chicago. It is dedicated to enabling research by providing access to centrally managed High Performance Computing (HPC), storage, and visualization resources. These resources include hardware, software, high-level scientific and technical user support, and the education and training required to help researchers make full use of modern HPC technology and local and national supercomputing resources. The Office of the Executive Vice President for Research and for National Laboratories oversees the conduct of sponsored research, technology transfer, research program development, multi-institutional research institutes, national laboratory board, and contract management functions. RINL supports the development and coordination of research-related communications and educational programs at The University of Chicago. RINL oversees the management of two Department of Energy contracts for Argonne National Laboratory and Fermi National Accelerator Laboratory. When combined with the Lab R&D budgets, the office oversees approximately $1.4 billion in sponsored research. RINL works closely with individual scholars, departments, and divisions to encourage, seed, and coalesce research across the University, Argonne, and Fermilab campuses.
Job Information​
Job Summary:

The Mansueto Institute for Urban Innovation and the Research Computing Center (RCC) are seeking a highly motivated Urban Data Specialist to work closely with faculty and researchers at The University of Chicago. The person in this position will serve as a technical domain expert, supporting and advising faculty and students from a range of disciplines on obtaining, managing and using data and analysis tools for research, development and grant proposals. The successful candidate will be dedicated to supporting the Mansueto Institute, providing expertise to a range of partners within the University, and will also work closely with peers at the RCC, computational scientists playing a key role in enabling leading computational research across the University.


Support faculty and researchers with large and small-scale management and analysis of urban data, which will include but is not exclusive to data at a range of different scales, from cities, public agencies, and the private sector.
Work with local, national, and international data repositories and historical datasets to support or advance research.
Design tutorials, hands-on workshops, and documentation for researchers and students with the help and coordination of other RCC staff; Attend and contribute to weekly Mansueto Institute and RCC team meetings and talks, as appropriate.
Keep abreast of new developments in urban data, particularly in remote sensing, aerial, and mapping data, and be pro-active in introducing them to the faculty.
Help faculty with grant proposals by contributing sections describing the interplay between research objectives and new or expanded data resources and advanced and innovative computing approaches.
Work with Mansueto Institute staff and faculty on the acquisition and curation of new urban data sets, including assisting with the creation of new data sharing agreements;Dedicate a portion of time to professional development.
Other duties as assigned.

Excellent interpersonal, verbal, written, and presentation skills.
Ability to understand and translate researchersí scientific goals into computational requirements.
Ability to work well with faculty and researchers.
Ability to identify and gain expertise in appropriate new technologies and/or software tools.
Ability to function as part of an interactive team while demonstrating self-initiative to achieve projectís goals and Research Computing Center and Mansueto's missions.
Strong analytical skills and problem solving ability.
Additional Requirements​​
Education and Experience:

Masterís degree in Geography, Urban Planning, Engineering, Computer Science or a related field required
Minimum of two years of relevant related technical work experience required
Project management experience
Technical Knowledge or Skills:

Computing and analysis experience with geo-referenced data using standard industry software, Python and/or R required
Fluency in data organization, manipulation and analysis required
Experience in a UNIX-based programing environment required
A passion for knowing the upcoming state of the art in urban and geospatial data, and associated analysis and visualization tools required
Experience in one or more programing languages (such as Java, C, C++, etc.) preferred
Experience with remote sensing data and GIS mapping and animation preferred
Proficiency in one or more scripting languages (such as Python, JavaScript, Perl, Bash, etc.) preferred
Experience in database development (MySQL, PostgreSQL) and advanced data management is desirable
Experience with algorithms that make sense of multispectral data preferred
Experience with machine learning and statistical analysis applied to GIS data preferred
Experience with data storage and high performance / cloud computing preferred
Experience with data sharing agreements preferred
Required Documents:

Cover letter required
Resume required
NOTE: When applying, all required documents MUST be uploaded under the Resume/CV section of the application

Benefit Eligibility​
Pay Frequency​
Pay Range
Depends on Qualification
Scheduled Weekly Hours​
Job is Exempt?​
Drug Test Required?​​
Does this position require incumbent to operate a vehicle on the job?​
Health Screen Required?​​
Posting Date​
Remove from Posting On or Before​
Posting Statement:​​
The University of Chicago is an Affirmative Action/Equal Opportunity/Disabled/Veterans Employer and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national or ethnic origin, age, status as an individual with a disability, protected veteran status, genetic information, or other protected classes under the law. For additional information please see the University's Notice of Nondiscrimination.

Staff Job seekers in need of a reasonable accommodation to complete the application process should call 773-702-5800 or submit a request via Applicant Inquiry Form.

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