Postdoctoral Research Associate - College of Engineering - Civil and Environmental Engineering

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 includingcomprehensive medical, prescription, dental, and vision insuranceas well as a generousretirement savings program with employer contributions. Unlock your potential withtuition benefits, take well-deserved breaks with amplepaid time off and observedholidays, and rest easy with life and accidental death and disability insurance. 

Additional perks include a free Pittsburgh Regional Transit bus pass, access to ourFamily Concierge Team to help navigate childcare needs,fitness center access, and much more!

For a comprehensive overview of the benefits available, explore ourBenefits page.

At Carnegie Mellon, we value the whole package when extending offers of employment. Beyond credentials, we evaluate the role and responsibilities, your valuable work experience, and the knowledge gained through education and training. We appreciate your unique skills and the perspective you bring. Your journey with us is about more than just a job; it’s about finding the perfect fit for your professional growth and personal aspirations.

Are you interested in an exciting opportunity with an exceptional organization?! Apply today!

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Full Time/Part time

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More Information: 

• Please visit“Why Carnegie Mellon”to learn more about becoming part of an institution inspiring innovations that change the world. 

• Clickhere to view a listing of employee benefits

• Carnegie Mellon University is an Equal OpportunityEmployer/Disability/Veteran. 

• Statement of Assurance