Transportation Data Integration Assistant (Research Assistant 1), Connecticut Transportation Safety

Location
Storrs, CT
Posted
Aug 10, 2017
Institution Type
Four-Year Institution
Job Title: Transportation Data Integration Assistant (Research Assistant 1), Connecticut Transportation Safety
Job ID: 2018029
Location: Storrs Campus
Full/Part Time:
Regular/Temporary: Temporary

Job Posting

The Connecticut Transportation Safety Research Center at the University of Connecticut, School of Engineering is seeking applicants for an end-date, full-time Research Assistant 1.

Job Summary:

Under the direction of the Director of the Connecticut Transportation Safety Research Center (CTSRC), the successful candidate will assist in data collection, consolidation, validation, and integration efforts related to migration from a limited non-geospatial roadway attribute database to a Model Inventory of Roadway Elements (MIRE) compliant geospatially accurate database, with the ultimate goal of aiding the advancement of the State's data driven safety analysis capabilities.

Duties and Responsibilities include:
  • Performing data scrubbing and quality control checks of asset datasets before integration into the production database;
  • Coordination with Department data stewards on asset development and Linear Referencing system (LRS) integration requirements;
  • Coordination activities between the Department and UCONN CTSRC on data integration and availability for use in safety analysis;
  • Asset data migration from the legacy database to the geospatial LRS database;
  • LRS development work related to alignment changes, new road construction, additional desired segment locations, and other miscellaneous LRS accuracy improvement activities.

Minimum Qualifications

Possession of at least a Bachelor's degree; Geography, GIS, or Computer Science Degree. No post-degree experience or equivalent specialized training and experience are required. Other related disciplines that are deemed appropriate and relevant to this position may also be considered.

Preferred Qualifications

Familiarity with ESRI, Bentley, or open source (QGIS) mapping/GIS tools; familiarity with basic load/extract/query procedures associated with GIS functions; familiarity with applicable federal and state guidelines regarding data collection, LRS integration, and data visualization, particularly the Model of Roadway Inventory Elements (MIRE) and All Roads Network of Linear Referenced Data (ARNOLD)

Appointment Terms

This is a full-time 11-month position based on available funding, subject to annual renewal. Salary will be commensurate with successful candidate's background and experience. Screening of applications will begin once the advertising for the position ends. The University offers a competitive salary and outstanding medical and retirement benefits, including spouse and dependent tuition waivers at the University of Connecticut.

To Apply:

Please to upload a letter of interest, resume, and a list of three professional references at http://www.jobs.uconn.edu. Employment of the successful candidate will be contingent upon the successful completion of a pre-employment criminal background check. (Search # 2018029).

Questions may be addressed to Dr. Eric Jackson at eric.d.jackson@uconn.edu.

This job posting is scheduled to be removed at 11:59 p.m. Eastern time on August 23, 2017.

All employees are subject to adherence to the State Code of Ethics which may be found at http://www.ct.gov/ethics/site/default.asp.

The University of Connecticut is committed to building and supporting a multicultural and diverse community of students, faculty and staff. The diversity of students, faculty and staff continues to increase, as does the number of honors students, valedictorians and salutatorians who consistently make UConn their top choice. More than 100 research centers and institutes serve the University's teaching, research, diversity, and outreach missions, leading to UConn's ranking as one of the nation's top research universities. UConn's faculty and staff are the critical link to fostering and expanding our vibrant, multicultural and diverse University community. As an Affirmative Action/Equal Employment Opportunity employer, UConn encourages applications from women, veterans, people with disabilities and members of traditionally underrepresented populations.

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