This job was posted by https://illinoisjoblink.illinois.gov : For more
information, please see:
https://illinoisjoblink.illinois.gov/jobs/12204112 Department
Provost Research Computing Center
About the Department
The University of Chicago Research Computing Center (RCC), a unit in the
Office of Research, 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 Research oversees the conduct of
sponsored research, research program development, and contract
management functions.
Job Summary
The job develops software to support the data acquisition, ingestion,
and integration for research projects. Assists in the development of
user interfaces and scalable back-end services to automate and
accelerate the scientific output of multi-institutional research
projects.
The University of Chicago Research Computing Center (RCC) is seeking a
highly motivated Computational Scientist with expertise in Geographic
Information System (GIS) to work closely with faculty and researchers.
The person in this position will serve as a technical domain expert,
supporting and advising faculty and students in enabling their research
from a range of disciplines. The successful candidate will be part of
the RCC-GIS initiative and will be experienced in GIS software and
spatial analysis methods with a focus on innovative uses of GIS
technologies and spatial data.
Responsibilities
Implement and support a variety of GIS applications and software.
Support faculty and researchers with large and small-scale
management and analysis of primarily spatial data, which will
include but not limited to data at a range of different scales, from
cities, public agencies, and the private sector.
Coordinate and lead the implementation and usage of GIS
applications, software and tools; oversee and participate in
creating, maintaining, and updating new and existing data layers and
databases.
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.
Keep abreast of new developments in GIS, 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.
Participates in the product development life cycle, providing
professional assistance to the design of front-end applications and
database systems back-end schema. Analyzes high-level system
specifications and makes sure that all application development
standards are met.
Develops and presents technical training materials and web-based
documentation. Ensures timely systems support and updates. Assists
in conducting information security assessments and risk analysis of
computing environment.
Evaluates past and present technologies to help develop new tools.
Ensures all the new tools have been through quality control reviews.
Performs other related work as needed.
Minimum Qualifications
Education:
Minimum requirements include a college or university degree in related
field.
Work Experience:
Minimum requirements include knowledge and skills developed through 2-5
years of work experience in a related job discipline.
Certifications:
Preferred Qualifications
Education:
Ph.D. in Geography, Urban Planning, Remote Sensing, Information
Sciences, Engineering, Computer Science, or a related field.
Technical Skills or Knowledge:
Experience working with raster and vector geospatial datasets one or
more GIS software platforms (ESRI's ArcGIS, Quantum GIS, GeoDa,
GeoMedia, etc.).
Principles and methods of GIS systems, database management, and
strong knowledge in cartographic composition techniques.
Hands on experience in developing and carrying out data analytical
strategies and pipelines on GIS data in a high-performance computing
environment.
Experience and general proficiency with use of one or more
high-level analysis tools or statistical languages (e.g., R,
SAS,MATLAB, IDL, etc.).
Numerical and/or GIS computing experience using Python and/or R.
Fluency in data organization, manipulation and analysis.
Experience in a UNIX/Linux-based environment.
Preferred Competencies
Un