Post-Doctoral Research Engineer

Employment Type

: Full-Time


: Engineering

Posting Information

Position TitlePost-Doctoral Research EngineerVacancy IDPDS002618DepartmentHighway Safety Research - 633600Position TypePostdoctoral ScholarSalary RangeDependent on QualificationsFull-time/Part-timeFull TimeIf part-time, hours per weekFTE1.0Proposed Start DateEstimated Duration of Appointment12 MonthsPosting Open Date12/19/2019Posting Close DateOpen Until FilledYesWork LocationChapel Hill, NCPosition Summary

The Highway Safety Research Center (HSRC) is a research unit within the University of North Carolina system and is located in Chapel Hill, NC. HSRC operates largely on funding for grant and contract work obtained through peer-reviewed applications and competitive bids. A broad range of research on transportation safety issues is conducted, dealing with all modes of road users, vehicles, and roadway issues. More information on HSRC can be found on our Website at

This Post-Doctoral Research Engineer position will require involvement in all aspects of transportation safety research related projects with activities ranging from study design and statistical analysis to preparation of final reports. The candidate should expect to work on more than one project at any given time under different project or program directors. The nature of the work at HSRC changes rapidly; therefore, the person must adapt to the changing environment and be able to transfer skills among projects. Specific principal functions include:

•Design and execute research studies including formulation of concepts, project planning, study design, data collection and management, data analysis, and interpretation of results.
•Prepare proposals to secure funds for highway safety research.
•Communicate research results through technical reports, journal articles, and public meetings.

Educational Requirements

A doctorate in civil engineering with a concentration in transportation engineering is required.

Qualifications and Experience

Priority will be given to individuals with experience in transportation safety research activities including evaluation of traffic control devices, roadway design parameters, and safety aspects of pedestrian and bicycle infrastructure. Specific skills being sought include 1) data management and analysis including knowledge of databases and statistical programs such as SAS and R, 2) experience in the application of state of the art statistical methods in highway safety, and skills in artificial intelligence, machine learning, and data mining, 3) experience in spatial data management and analysis. A track record in contract research, publication in scholarly journals, and strong speaking and technical writing skills are also highly desirable.

Equal Opportunity Employer

The University of North Carolina at Chapel Hill is an equal opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to age, color, disability, gender, gender expression, gender identity, genetic information, race, national origin, religion, sex, sexual orientation, or status as a protected veteran.

Special Instructions

For information on UNC Postdoctoral Benefits and Services click here

Quick Link Physical and Mental RequirementsDepartment Contact Name and TitleRachel Prasek, HR ConsultantDepartment Contact Telephone or Emailrachelp@unc.eduPostdoctoral Affairs Contact Information

If you experience any problems accessing the system or have questions about the application process, please contact the University’s Equal Employment Opportunity office at (919)-962-1091 or send an email to

Please note: The Equal Employment Opportunity office will not be able to provide specific updates regarding position or application status.

Applicant DocumentsRequired Documents
  1. Curriculum Vitae / Resume
  2. Cover Letter
Optional Documents
  1. List of References
Supplemental Questions

Required fields are indicated with an asterisk (*).

    * The salary listed in the header is an estimate based on salary data for similar jobs in the same area. Salary or compensation data found in the job description is accurate.

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