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Current Openings

C2SMART has a diverse array of USDOT- and other-funded projects in the area 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. Lead a growing portfolio of research projects being conducted at the Center in the area 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. 

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 requires

Qualifications

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. 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 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++, 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

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. 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.

To learn more and apply, click the button below:

Student Openings

The Center is looking for student research interns to work on faculty-led research projects using emerging technologies in transportation and smart cities. Candidates will be expected to design, implement and improve algorithms for computer vision, deep learning, software development and V2X applications. We expect creativity in integrating new data sources and innovative solutions to solve real-world problems.

Primary Responsibilities will include:

  • Provide reliable algorithm solutions for innovations and technologies for collecting new sources of transportation data including advanced video analytics for transportation management and operation.
  • Evaluate the output of the model and make iterative improvements.
  • Design and optimize a software with graphic user interface for annotating video data and training data labeling.
  • Write documentations for related algorithms and interfaces.
  • Collaborate with the research team and assist in research projects supported by the C2SMART Center

 

The Center is looking to add an editor/graphic designer to work on an as-needed-basis in support of the Center’s research projects, events, and communications. The position is responsible for creating promotional and outreach materials, both digital and print, editing and improving written reports, and assisting in developing and maintaining website content.

Primary Responsibilities will include:

  • Conceptualize and design publications, promotional posters, and presentations as needed by C2SMART staff using desktop publishing software programs.
  • Develop content for C2SMART Website to make research output more accessible to a larger audience.
  • Receive event information from C2SMART staff and develop graphics for events or promotions, varying from flyers, email campaigns, and social media posts. 
  • Create and edit video clips from recorded seminars, interviews, and other stock footage.
  • Reading, proofreading, and editing research papers, reports, briefs, abstracts, and presentations. 
  • Help as needed with other design work.

Workload may vary from week-to-week based on demand for graphic materials, though we will be flexible around your schedule, constrained by our deadlines. Candidates should submit a portfolio of visual work and/or a writing sample consisting of varied technical or science writing, or other specialized editorial work, if applicable, along with their application.