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Postdoctoral Research Associate - Traffic Engineering

Rutgers University
life insurance, employee discount
United States, New Jersey, New Brunswick
May 06, 2026
Position Details
Position Information








Recruitment/Posting Title Postdoctoral Research Associate - Traffic Engineering
Department Advanced Infrastructure Center
Salary Details Min Salary $63,968
Offer Information
The final salary offer may be determined by several factors, including, but not limited to, the candidate's qualifications, experience, and expertise, and availability of department or grant funds to support the position. We also take into consideration market benchmarks, if and when appropriate, and internal equity to ensure fair compensation relative to the university's broader compensation structure. We are committed to offering competitive and flexible compensation packages to attract and retain top talent.
Benefits
Rutgers provides a comprehensive benefits package to eligible employees. The specific benefits vary based on the position and may include:

  • Medical, prescription drug, and dental coverage
  • Paid vacation, holidays, and various leave programs
  • Competitive retirement benefits, including defined contribution plans and voluntary tax-deferred savings options
  • Employee and dependent educational benefits (when applicable)
  • Life insurance coverage
  • Employee discount programs

Posting Summary
The Center for Advanced Infrastructure and Transportation ( CAIT) within the School of Engineering at Rutgers University, is seeming a Postdoctoral Associate in Traffic Engineering, specializing in Intelligent Transportation Systems ( ITS). This is a pivotal role requiring a blend of technical expertise, project management, and collaboration skills. The successful candidate will contribute significantly to the development, deployment, maintenance, and enhancement of ITS projects in the DataCity Smart Mobility Testing Ground program.
Position Status Full Time
Posting Number 26FA0445
Posting Open Date
Posting Close Date
Qualifications






Minimum Education and Experience
The ideal candidate has to have Ph.D. in a related field or discipline, or an equivalent
combination of education and/or relevant experience, and a minimum of five years of relevant
professional experience, excellent communication skills, and computer literacy
Certifications/Licenses
Required Knowledge, Skills, and Abilities

  • Experience with large-scale ITS projects and Connected and Autonomous Vehicle (CAV) testbeds
  • Proven track record of involvement in large-scale ITS initiatives, demonstrating understanding of the design, implementation, and management of advanced transportation systems.
  • Extensive knowledge of transportation and traffic engineering principles, including the ability to design, plan, and document complex ITS solutions.
  • Familiarity with ITS and microscopic traffic simulation architectures, supporting the development of simulation platforms
  • Hands-on experience with field instrumentation, as well as the installation and deployment of ITS devices, ensuring seamless integration and functionality.
  • Demonstrated success in preparing, drafting, and submitting grant proposals for ITS projects, with a proven ability to secure funding through compelling proposals.
  • Background in the maintenance, optimization, and operational oversight of ITS systems, ensuring reliability and sustained performance.
  • Forward-thinking mindset with the ability to stay current with emerging technologies and industry trends in the ITS domain.
  • Effective communication skills, problem-solving abilities, and a collaborative approach are critical to engage with cross-functional teams, stakeholders, and external partners.

Preferred Qualifications

  • Experience with Connected and Autonomous Vehicle (CAV) testbeds is highly desirable, demonstrating a keen grasp of cutting-edge technologies in the transportation domain.
  • Experience in large-scale data processing and data transmission systems, including the ability to manage, analyze, and efficiently handle high-volume transportation datasets.
  • Experience with traffic simulation tools and methodologies, with the ability to model, analyze, and interpret complex traffic scenarios.
  • Proficiency in ITS software or mobile application development, showcasing the ability to create innovative solutions that enhance user experience, system functionality, or data analytics.

Equipment Utilized

  • Experience with Unmanned Aerial Vehicle (UAV) operation preferred to help collect traffic flow and infrastructure data under supervision
  • Experience with Photogrammetry and Simultaneous localization and mapping (SLAM)-based scanning devices operation preferred to help collect infrastructure data

Physical Demands and Work Environment
Require in-person field work with data collection and testing instrumentation and computer-based research and development.
Overview
This is part of the DataCity Smart Mobility Testing Ground initiative to build a living lab for research and development of Connected and Automated Vehicle and Smart City technologies.

Key Duties & Responsibilities include:

  • 30%: Collaborates with DataCity PIs and students to design, develop, and implement
    technology solutions for DataCity's data sharing and application test platforms
  • 30%: Monitors, assesses, and tests the performance of both front-end and back-end systems,
    identifying areas for improvement and developing comprehensive enhancement plans
  • 10%: Engages in effective outreach and coordination efforts with transportation agencies and
    private sectors to identify and address client needs and seek collaboration opportunities.
  • 10%: Prepares, plans, and writes funding proposals to secure financial support from federal,
    state, and local funding opportunities.
  • 10%: Provides technical support, guidance, and necessary training to internal students
    engineer/developer teams and agency partners to foster a collaborative and productive
    work environment.
  • 10%: Ensures effective documentation of system processes, configurations, and changes,
    promoting knowledge sharing and consistent best practices.

Statement
Posting Details






Special Instructions to Applicants
Quick Link to Posting https://jobs.rutgers.edu/postings/274248
Campus Rutgers University-New Brunswick
Home Location Campus Busch (RU-New Brunswick)
City Piscataway
State NJ
Location Details
Pre-employment Screenings
All offers of employment are contingent upon successful completion of all pre-employment screenings.


Immunization Requirements

Under Policy 100.3.1 Immunization Policy for Covered Individuals, if employment will commence during Flu Season, Rutgers University may require certain prospective employees to provide proof that they are vaccinated against Seasonal Influenza for the current Flu Season, unless the University has granted the individual a medical or religious exemption. Additional infection control and safety policies may apply. Prospective employees should speak with their hiring manager to determine which policies apply to the role or position for which they are applying. Failure to provide proof of vaccination for any required vaccines or obtain a medical or religious exemption from the University will result in rescission of a candidate's offer of employment or disciplinary action up to and including termination.



Equal Employment Opportunity Statement
It is university policy to provide equal employment opportunity to all its employees and applicants for employment regardless of their race, creed, color, national origin, age, ancestry, nationality, marital or domestic partnership or civil union status, sex, pregnancy, gender identity or expression, disability status, liability for military service, protected veteran status, affectional or sexual orientation, atypical cellular or blood trait, genetic information (including the refusal to submit to genetic testing), or any other category protected by law. As an institution, we encourage all qualified applicants to apply. For additional information please see the Non-Discrimination Statement at the following web address: http://uhr.rutgers.edu/non-discrimination-statement


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