Abdollah Shafieezadeh

The RAMSIS Lab at The Ohio State University is recruiting two PhD students to work on uncertainty quantification (UQ) , uncertainty-aware machine learning , computational modeling , and the risk and resilience of complex engineering and natural systems . The lab is especially interested in students who want to develop new methodology rather than only apply existing tools. Research directions mentioned include stochastic modeling and uncertainty propagation, Bayesian inference and data assimilation, uncertainty-aware scientific ML and probabilistic learning, surrogate/reduced-order/multifidelity modeling, and risk-informed decision-making and optimization. Experience connecting UQ and ML with physics-based computational models or large-scale engineering systems is particularly welcome. A strong engineering background and solid foundations in probability/statistics, scientific computing, or applied mathematics are highly valued. The expected start is Fall 2027 , with earlier starts in Spring or Summer 2027 also welcomed. Both domestic and international applicants are encouraged to apply. To apply, email [email protected] with your CV and a brief introduction highlighting your relevant research experience or technical background, plus a few lines about the research problems that excite you. Use the subject line: RAMSIS PhD – UQ & Uncertainty-Aware ML – 2027 .