Postdoc: AI-Driven Transport & Network Research

CMU group; Pittsburgh (Allegheny County); Hybrid; USD 65,000 - 90,000; Full time

Benefits offered by this job

Bus pass

Family Concierge

Fitness center access

Tuition benefits

Job summary

Carnegie Mellon University in Pittsburgh seeks a Postdoctoral Research Associate in Civil and Environmental Engineering to advance AI-enabled multi-modal transportation and supply-chain networks. The role includes leading funded projects, mentoring graduate students, and contributing to grant writing and publications.

The ideal candidate holds a recent quantitative PhD, demonstrates programming and modeling skills, and has interest in dynamic traffic assignment and large-scale simulations.

Qualifications

• Full-time, self-motivated, with a recent quantitative doctoral degree in Engineering or other related areas.
• A record of productivity.
• Enthusiastic about programming and mathematical modeling.
• A combination of education and relevant experience from which comparable knowledge is demonstrated may be considered.

Responsibilities

• Collect and analyze data and conduct data-driven research experiments.
• Lead research projects and supervise graduate research assistants.
• Contribute to manuscript writing for publication and grant writing.
• Maintain lab equipment and assist in ordering supplies as needed.

Skills

Programming languages

Dynamic Traffic Assignment

Machine learning

Interdisciplinary

Education

Quantitative doctoral degree in Engineering

Job description

Carnegie Mellon University in Pittsburgh seeks a Postdoctoral Research Associate in Civil and Environmental Engineering to advance AI-enabled multi-modal transportation and supply-chain networks. The role includes leading funded projects, mentoring graduate students, and contributing to grant writing and publications.

The ideal candidate holds a recent quantitative PhD, demonstrates programming and modeling skills, and has interest in dynamic traffic assignment and large-scale simulations.