Mohammad Miralinaghi
1 month ago
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Funded PhD in Civil Infrastructure Systems, Optimization, and Data-Driven Decision Making Illinois Institute of Technology in United States
Degree Level
PhD
Field of study
Computer Science
Funding
Funded Ph.D. position beginning in Spring 2027. The post states the student will be funded, but no stipend amount, tuition coverage, or other financial details are provided.
Country
United States
University
Illinois Institute of Technology

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About this position
Funded Ph.D. opportunity at Illinois Institute of Technology in the Department of Civil, Architectural, and Environmental Engineering, starting in Spring 2027.
The project sits at the intersection of civil engineering, transportation engineering, infrastructure systems, optimization, risk and reliability, and data-driven decision making, with applications to the monitoring, maintenance, and resilience of civil infrastructure.
Preferred applicants have a B.S. or M.S. in civil engineering, transportation engineering, industrial engineering, computer science, or a closely related field. A strong quantitative and analytical background is important, and Python programming experience is specifically mentioned. Experience with optimization, operations research, data analytics, GIS, or simulation is desirable, along with prior research experience and strong communication skills.
This is a funded Ph.D. opening; no stipend or tuition details are listed in the post. Interested applicants should first complete the linked form, after which selected candidates will receive further instructions for the official Illinois Tech application.
Funding details
Funded Ph.D. position beginning in Spring 2027. The post states the student will be funded, but no stipend amount, tuition coverage, or other financial details are provided.
What's required
Applicants should have a B.S. or M.S. in civil engineering, transportation engineering, industrial engineering, computer science, or a closely related field. A strong quantitative and analytical background is preferred, along with programming experience, particularly in Python. Experience with optimization, operations research, data analytics, GIS, or simulation is desirable. Prior research experience and strong written and oral communication skills are also preferred.
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