Carnegie Mellon University is a private, global research university that stands among the world’s most renowned education institutions. With ground-breaking brain science, path-breaking performances, creative start-ups, big data, big ambitions, hands-on learning, and a whole lot of robots, CMU doesn’t imagine the future, we invent it. If you’re passionate about joining a community that challenges the curious to deliver work that matters, your journey starts here!
The Civil and Environmental Engineering Department at Carnegie Mellon offers a unique interdisciplinary program that enables you to develop imaginative solutions to real-world engineering problems. With access to cutting-edge research and technology, high achieving, energetic - yet approachable - faculty, and an innovative and flexible curriculum, we consistently rank among the top engineering programs by US News and World Report.
A postdoctoral researcher position is available at the Department of Civil and Environmental Engineering at CMU. The work will focus on integrating AI agents into dynamic multi-modal transportation networks and supply chain networks. The postdoctoral researcher will lead funded research projects, supervise graduate research assistants, and write research proposals and reports.
Core Responsibilities:
Collect and analyze data, including periodical/literature search and utilizing specialized skills in related fields 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.
Adaptability, excellence, and passion are vital qualities within Carnegie Mellon University. We are in search of a team member who can effectively interact with a varied population of internal and external partners at a high level of integrity. We are looking for someone who shares our values and who will support the mission of the university through their work.
Desired 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.
Priorities will be given to candidates:
With working knowledge of at least one programming language, such as C++, Python, etc.
With working knowledge of Dynamic Traffic Assignment (DTA) and large-scale network simulation
Have a good understanding of machine learning theories and algorithms
With inter-disciplinary background
Starting in Fall 2026
Duration: this is a temporary full-time position with a minimum duration of 12 months, with an opportunity to extend the position to multiple years depending on performance and availability of funding.
Supervisor: Prof. Sean Qian seanqian@cmu.edu
Personal web: https://sites.google.com/andrew.cmu.edu/seanqian/home
Mobility Data Analytics Center: http://mac.heinz.cmu.edu/
Joining the CMU team opens the door to an array of exceptional benefits.
Benefits eligible employees enjoy a wide array of benefits including comprehensive medical, prescription, dental, and vision insurance as well as a generous retirement savings program with employer contributions. Unlock your potential with tuition benefits , take well-deserved breaks with ample paid time off and observed holidays , and rest easy with life and accidental death and disability insurance.
Additional perks include a free Pittsburgh Regional Transit bus pass, access to our Family Concierge Team to help navigate childcare needs, fitness center access , and much more!
For a comprehensive overview of the benefits available,…