We invite applications for an exciting opportunity for a postdoctoral research associate position in the domain of digital twin modeling for infrastructures. This opportunity is well-suited to an innovative researcher with a strong background in infrastructure system modeling and risk quantification. The successful candidate will join Risk Assessment and Management of Structural and Infrastructure Systems (RAMSIS) lab at Ohio State University, under the mentorship of Professor Abdollah Shafieezadeh. The candidate will have an important role in driving our core objective of developing advanced, technologically driven solutions for integrated monitoring and decision-making systems for complex structures and infrastructures.
We invite applications for a postdoctoral research associate position in the area of digital twin modeling for infrastructure systems, with a particular emphasis on risk-informed decision-making and resilience analytics. This position is ideal for a highly motivated researcher with a strong background in computational modeling, system identification, and uncertainty quantification for civil infrastructure. The successful candidate will join the Risk Assessment and Management of Structural and Infrastructure Systems (RAMSIS) Lab at The Ohio State University, under the mentorship of Professor Abdollah Shafieezadeh. The postdoctoral researcher will play a key role in advancing our mission to develop next-generation digital twin frameworks that integrate physics-based modeling, data-driven inference, and real-time monitoring to support robust lifecycle decision-making for complex infrastructure systems. This position offers an opportunity to contribute to interdisciplinary research at the intersection of civil engineering, machine learning, and systems engineering, with applications in energy systems and other natural and engineered networks.
Hiring Salary: $61,800

Application materials should include:

• Cover letter outlining your qualifications, research interests, and how your background aligns with the objectives of the RAMSIS Lab.
• Curriculum Vitae (CV) including a complete list of publications, presentations, and relevant experiences.
• Two-page research statement describing your vision and research plan in the domains of risk and resilience analytics and digital twin modeling, highlighting both technical depth and innovative thinking.

Required Qualifications: Ph.D. in Civil Engineering or Mechanical Engineering, Demonstrated proficiency in methods for infrastructure system modeling and monitoring, uncertainty quantification methods, and modern machine learning techniques, particularly in engineering applications. A commendable track record of research-based publications in the aforementioned fields, indicating a rich and productive research experience Ability to effectively communicate research findings, collaborate across disciplines, and contribute to a cohesive research team.
Term (Fixed Term) 40 First Shif

Please refer the Job description for details