About The Position

Carnegie Mellon University's Civil and Environmental Engineering Department is seeking a postdoctoral researcher to focus on integrating AI agents into dynamic multi-modal transportation networks and supply chain networks. The successful candidate will lead funded research projects, supervise graduate research assistants, and write research proposals and reports. This role is part of a unique interdisciplinary program that enables the development of imaginative solutions to real-world engineering problems, with access to cutting-edge research and technology.

Requirements

  • PhD Required
  • Working knowledge of at least one programming language, such as C++, Python, etc.;
  • Working knowledge of Dynamic Traffic Assignment (DTA) and large-scale network simulation
  • Have a good understanding of machine learning theories and algorithms;
  • inter-disciplinary background;
  • A combination of education and relevant experience from which comparable knowledge is demonstrated may be considered.
  • Successful background check

Responsibilities

  • Collect and analyze data, including periodical/literature search and utilizing specialized skills in related field to analyze the collected data.
  • Conduct research experiments within the predetermined research scope and methodology of department and university.
  • Lab maintenance, including equipment maintenance and ordering of supplies may be required depending on area and specialty.
  • Participate/assist in manuscript writing for publication in scientific journals and/or presentations.
  • May also assist in grant writing.
  • Performs related duties as assigned.

Benefits

  • Comprehensive medical, prescription, dental, and vision insurance
  • Generous retirement savings program with employer contributions
  • Tuition benefits
  • Ample paid time off
  • Observed holidays
  • Life and accidental death and disability insurance
  • Free Pittsburgh Regional Transit bus pass
  • Access to Family Concierge Team to help navigate childcare needs
  • Fitness center access

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What This Job Offers

Job Type

Full-time

Career Level

Entry Level

Education Level

Ph.D. or professional degree

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