Research Fellow in Transportation AI

1 week ago


Boca Raton, Florida, United States InsideHigherEd Full time

About the Opportunity:

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

The selected candidate will contribute significantly to advancing research in AI applications within transportation planning, emphasizing big data analytics, computer vision, and machine learning, particularly concerning the built environment and transportation frameworks.

This role involves collaboration with a multidisciplinary team to devise innovative strategies for transportation planning and infrastructure development.

It aligns with CETOC's mission to foster transit-accessible, equitable, and sustainable communities while safeguarding environmental integrity.

Key Responsibilities:

  • Conduct pioneering research utilizing AI and machine learning to interpret complex datasets related to transportation and the built environment.
  • Gather, organize, and analyze travel behavior and built environment data from diverse sources.
  • Develop tools and methodologies for planning equitable transit-oriented communities.
  • 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 Center.

The researcher will collaborate with professionals at 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 may be possible based on performance and funding availability. The role offers a competitive salary, health benefits, and opportunities for professional development.

Minimum Qualifications:

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

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

Salary:

$61,000.00

Application Process:

All applications must be submitted through the designated job application portal.

Required Documents:

Applicants should submit a cover letter, CV, and academic transcript, with a maximum of five documents allowed.

Interview/Cover Letter:

Candidates are encouraged to articulate how they meet the responsibilities outlined in the position description, highlighting 1-2 specific areas in their cover letter.

At least two recommendation letters should be submitted.

Transcripts:

Official transcripts must be provided prior to employment.

Background Screening:

Selected candidates will be required to undergo comprehensive background checks before commencing employment.

Accommodations:

Contact the office if any accommodations are necessary.



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