Transportation & Smart Cities Research Associate

New York, United States
Salary Commensurate with experience
Jun 01, 2021
Employment Level
Employment Type
Full Time

C2SMART Center is seeking a Research Associate to lead a growing portfolio of research projects being conducted at the center. This candidate will lead/oversee the successful execution of tasks and deliverables on a diverse array of innovative and collaborative projects while supporting Center faculty, staff, and student researchers. 

C2SMART works at the nexus of connected vehicles, intelligent transportation systems (ITS), and other big data analytics in support of emerging technologies and their applications to solve transportation/mobility challenges. This position provides an excellent opportunity to work at the cutting edge of transportation planning and engineering research, with exposure to current and anticipated challenges transportation agencies and companies are facing in the New York-area.

Broadly, the Research Associate will lead or support the following tasks:

    Data analysis, modeling, statistical analysis of transportation systems and travelers, particularly within New York Working with partners/sponsors in transportation engineering tasks such as administering surveys, recording and collecting data, participating in field tests, and deploying and testing new equipment such as sensors, V2V/I/X communication devices, or similar Lead specific tasks that require creation and calibration of simulation models, development of performance measures, and studying and understanding trends and relationships from big datasets Documenting research activity and disseminating/presenting key findings and research activity to sponsors and partners via presentations, written reports, and other deliverables as required

The successful candidate will have a wide-range of exposure to various transportation tools and emerging technologies, as well as experience developing and implementing new products and solutions into practice. C2SMART’s activity goes beyond the academic setting, and this position will be critical to bringing advances in technology into the real world.

Minimum required qualifications:

    A master’s degree in civil engineering, transportation, urban studies, or related, from an accredited college with at least 2+ years of experience in transportation First-hand experience conducting data analysis on large-scale transportation or other urban datasets with knowledge of both traditional and emerging data storage technologies (e.g. cloud-based, unstructured, etc.) Knowledge of basic transportation concepts and intelligent transportation systems (ITS) technologies Experience with technical writing and documentation of engineering/data science projects

Desired qualifications:

    A Ph.D. in transportation engineering Experience or knowledge of simulation and modeling software such as SUMO, MATSim, Aimsun, TransCAD, CUBE, VISSIM, or similar A proven ability to write or edit code in Python, C++, PHP, or similar Experience experimenting with different desktop/mobile applications in support of research projects Experience with computer vision and/or other video analytics tools Knowledge of New York-area transportation systems and agencies and/or USDOT programs and goals
Application Instructions

Applicants should submit a resume and cover letter expressing their interest, experience, and desire to work within a dynamic research center on Interfolio at this link: Review of applications will begin as soon as possible and will continue until the position is filled.