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Research Associate in Transportation AI

2 months ago

Boca Raton, Florida, United States InsideHigherEd Full time

Position Overview:

The Center for Equitable Transit-Oriented Communities (CETOC) is seeking a talented postdoctoral researcher with expertise in data science and artificial intelligence.

This role is pivotal in enhancing AI methodologies within transportation planning, concentrating on large-scale data analysis, computer vision applications, and machine learning techniques, particularly as they relate to urban environments and transportation networks.

The successful candidate will collaborate with a multidisciplinary team to devise innovative strategies for transportation planning and infrastructure development.

This position is aligned with CETOC's mission to foster equitable, transit-friendly, and sustainable communities while prioritizing environmental stewardship.

Key Responsibilities:

  • Conduct advanced research utilizing AI and machine learning to interpret intricate transportation and urban data.
  • Gather, organize, and analyze travel behavior and urban data from diverse sources.
  • Develop tools and methodologies for planning equitable transit-oriented developments.
  • Initiate new research projects that align with CETOC's objectives, employing AI techniques.
  • Engage with community stakeholders and assist in grant management as needed.

This position is supported by grants from the U.S. Department of Transportation and University Transportation Centers.

The researcher will collaborate with professionals from the Center for Urban and Environmental Solutions and the Department of Urban and Regional Planning, alongside experts in transportation and data science.

Renewal of this position is contingent upon performance and funding availability. The role offers a competitive salary, health benefits, and opportunities for professional development.

Qualifications:

Applicants must possess a doctoral degree in computer science, data science, urban planning, or a related discipline.

Experience in AI, machine learning, transportation systems, and urban analysis is essential. Familiarity with big data analytics and computer vision is preferred. Prior publications as the lead author are also advantageous.

Compensation:

$61,000.00

Application Process:

All applications must be submitted through the designated job portal.

Required Documentation:

Applicants should submit a maximum of five documents, combining additional materials as necessary. Required documents include a cover letter, CV, and academic transcripts.

Interview Requirements:

Candidates should articulate how they meet the responsibilities of the position in their cover letter, highlighting one or two key areas.

At least two recommendation letters must be submitted.

Transcripts:

Official transcripts must be provided to HR prior to employment.

Background Checks:

Selected candidates will be required to pass comprehensive background checks prior to starting the position.

Accommodations:

Contact for any necessary accommodations.