Postdoctoral Associate in Transportation Systems, Safety, and Human Factors

• University of Florida
• United States
• Oct 14, 2026

About University of Florida

At the University of Florida, we are a people of purpose. We're committed to challenging convention and ourselves. We see things not as they are, but as they could be. And we strive for a greater impact: one measured in people helped...

• An earned doctorate by the appointment start date in civil or transportation engineering, electrical or computer engineering, industrial or systems engineering, human factors, experimental psychology, computer science, or a closely related field appropriate to the assigned research.
• Demonstrated experience conducting quantitative research and analyzing experimental, observational, or engineering data.
• Proficiency in at least one analytical or programming environment, such as Python, R, MATLAB, or equivalent software.
• Demonstrated technical writing and communication skills.
• Ability to work independently and collaboratively within a multidisciplinary research team.

• Conduct literature reviews and synthesize research, technical standards, and agency practices relevant to transportation systems, safety, and accessibility.
• Develop experimental designs, research protocols, performance measures, sampling approaches, and statistical analysis plans.
• Support the development and operation of controlled test environments and field evaluations involving transportation technologies, infrastructure, and user behavior.
• Develop and apply methods for instrumentation, data acquisition, event logging, video analysis, and measurement of system performance.
• Support human-factors and pedestrian research, including study procedures, IRB documentation, recruitment coordination, and participant activities conducted under approved protocols and appropriate specialist supervision.
• Analyze engineering and behavioral data using reproducible methods that address repeated observations, measurement uncertainty, missing data, and data quality.
• Prepare technical reports, peer-reviewed manuscripts, presentations, implementation guidance, and practitioner training materials.
• Coordinate research activities with collaborating faculty, staff, agency partners, and technical specialists.
• Mentor student and hourly research assistants and support consistent data-collection and quality-control practices.
• Participate in research mentoring and professional development, and contribute to related funding proposals and research initiatives.

$60,000 commensurate with education and experience

• An earned doctorate by the appointment start date in civil or transportation engineering, electrical or computer engineering, industrial or systems engineering, human factors, experimental psychology, computer science, or a closely related field appropriate to the assigned research.
• Demonstrated experience conducting quantitative research and analyzing experimental, observational, or engineering data.
• Proficiency in at least one analytical or programming environment, such as Python, R, MATLAB, or equivalent software.
• Demonstrated technical writing and communication skills.

Ability to work independently and collaboratively within a multidisciplinary research team

• Traffic signal operations, intelligent transportation systems, transportation safety, vehicle detection, or traffic simulation.
• Instrumentation, synchronized measurements, data acquisition, networked sensing, or camera-based system evaluation.
• Human factors, pedestrian behavior, accessibility, way finding, or evaluation of transportation infrastructure from a user perspective.
• Human-subject research, IRB processes, participant recruitment, and accessible research procedures.
• Experimental design, repeated-measures or mixed-effects analysis, sampling methods, and measurement uncertainty.
• Video processing, computer vision, automated event extraction, or behavioral observation.
• Controlled testbed development and field data collection.
• Preparation of research publications, agency reports, technical manuals, or implementation guidance.
• Collaboration with public agencies, industry partners, or accessibility practitioners.
• Mentoring research assistants and coordinating concurrent research activities.