Crash Data Liaison (Research Assistant 3)

Job description

Job Title: Crash Data Liaison (Research Assistant 3)
Job ID: 2019076
Location: Storrs Campus
Full/Part Time:
Regular/Temporary: Temporary

Job Posting

The University of Connecticut's Connecticut Transportation Institute (CTI) is seeking applicants for the position of Research Assistant 3 (Advanced Level Technician) Crash Data Liaison. Under the supervision of the Director of the Connecticut Transportation Safety Research Center (CTSRC), the successful candidate will provide technical support to the CTSRC, Connecticut Department of Transportation and Police departments across Connecticut. The successful candidate should have law enforcement experience, be persuasive, encouraging, and motivating. They should be able to interact with the State Police, CPCA, LTAP, MPO's, towns and other agencies to promote crash initiatives, attend as many related meetings of LEAs as possible and be a spokesperson for crash initiatives. The crash data liaison will also be required to give presentations promoting crash initiatives, coordinate all efforts and update the Traffic Records Coordinating Committee on a monthly basis and work with all Law Enforcement Agencies in CT to analyze and formulate a counter measure plan to effectively address hotspot/problem areas.


  1. Interact with law enforcement on an ongoing basis.
  2. Organize outreach projects to engage the law enforcement community in safety data collection.
  3. Produce reports or releases concerning safety facts or crash data.
  4. Identify and address crash data collection quality issues at the local level
  5. Conduct safety related training as needed
  6. Assist the Highway Safety Office as needed

  1. Master's degree in specialty appropriate to department to be served and 2 to 4 years' experience OR Bachelor's degree and 4 to 5 years relevant experience OR 20+ years' experience in law enforcement and crash investigation.
  2. Comprehensive knowledge of the crash data collection and crash reconstruction, and proven ability to apply a wide range of concepts, techniques and practices to carry out crash data outreach and training objectives.
  3. Proven ability to evaluate and produce reliable results, problem-solve and trouble shoot complex problems.
  4. Knowledge of state of the art technology appropriate to the crash data and crash reconstruction.
  5. Demonstrated supervisory ability.
  6. Ability to maintain and troubleshoot complex problems with crash data collection systems and software vendors; design and construction capability may be required.

  1. Police Officer Standards and Training (POST) Council certified instructor.
  2. More than 25 years of law enforcement experience
  3. 10+ years, experience with crash investigations and crash reconstruction.
  4. Knowledge of Easy Street Draw and crash diagramming techniques.
  5. Effective communication skills to write press releases, serve as an expert for local and national media request, and continuously network with police departments in CT.


This is a full-time 11-month position based on available funding and subject to annual renewal. Salary will be commensurate with successful candidate's background and experience. Screening of applications will begin immediately. The University offers a competitive salary and outstanding medical and retirement benefits, including employee tuition reimbursement and dependent child tuition waivers at the University of Connecticut. The successful candidate will be based at the UConn Storrs Campus but will travel across the state and may be required to spend a day or two each week at the Connecticut Department of Transportation.


Please apply online using UConn Jobs:, Staff Positions, to upload a letter of interest, resume, and a list of three professional references. Correspondence may be addressed to Eric Jackson at [email protected]

Employment of the successful candidate is contingent upon the successful completion of a pre-employment criminal background check. (Search # 2019076)

This job posting is scheduled to be removed at 11:59 p.m. Eastern time on September 24, 2018.

All employees are subject to adherence to the State Code of Ethics, which may be found at


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 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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Job No:
Posted: 9/11/2018
Application Due: 9/25/2018
Work Type: