Fully Funded PhD in Infrastructure Risk and Community Resilience at University of Colorado Boulder University of Colorado Boulder in United States

Fully funded PhD opportunity at the University of Colorado Boulder in Infrastructure Risk and Community Resilience with the Innovation for Resilient Infrastructure (IRI) Research Group.

The group, led by Associate Professor Cristina Torres-Machi, is recruiting a PhD student to work on infrastructure management, with emphasis on risk assessment, natural hazards, and the impacts of hazards on community mobility. The research sits within civil engineering and connects to transportation engineering, infrastructure systems, resilience engineering, simulation modeling, and optimization.

Funding: The position is described as fully funded through a research assistantship. The post does not specify the stipend amount, but it highlights a supportive, collaborative research environment and access to a top-ranked civil engineering program.

Eligibility highlights: Applicants should have a completed or near-completion Master's degree in Civil Engineering, Transportation Engineering, Infrastructure Systems, or a closely related field. A strong background in transportation engineering or infrastructure systems is preferred. Experience with data analysis, simulation, or optimization is requested, along with strong written and oral communication skills. Applicants must also meet the admission requirements of the CU Boulder PhD program in Construction Engineering and Management.

Start date: Expected start in Spring 2027.

How to apply: Submit the expression-of-interest form and upload a current CV, proof of English proficiency if applicable, a writing sample, and a cover letter describing research interests and relevant experience. The post notes that a Google account is required for uploads; otherwise, contact the professor by email.

More information: The IRI Research Group page and Professor Torres-Machi’s faculty page provide additional background on the lab’s work in data-driven, risk-based, and cost-effective infrastructure decision-making.