PhD Position in Uncertainty Quantification and Bayesian Inference for Computational Modeling Virginia Tech in United States

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 assimilati...

New Jersey Institute of Technology (NJIT) is advertising a postdoctoral researcher position in machine learning and quantum computing , with applications to fluid dynamics . The role is based at NJIT in Newark, New Jersey, in the New York City metropolitan area, and is part of an NSF-funded project in the PI’s group. The project focuses on developing, training, and benchmarking machine learning models, including quantum approaches, using an operational and verified software infrastructure alread...

Postdoctoral Researcher in Bayesian Methodologies for System Dynamics at Oak Ridge National Laboratory (United States) This postdoctoral opening is in the Data Science and Engineering for Nonproliferation Group within the National Security Sciences Directorate at Oak Ridge National Laboratory. The project focuses on Bayesian methodologies , system dynamics modeling , probabilistic programming , and uncertainty quantification , with an emphasis on calibrating time-evolving models against sparse, ...

George Washington University’s School of Business, Department of Decision Sciences, is recruiting a Postdoctoral Associate in stochastic optimization and robust optimization . The position focuses on developing new methods and algorithms for problems in resilience, critical infrastructure, wildfire resilience, network design, and emergency healthcare systems. The role is based in Washington, D.C., United States , and is intended for a researcher with a completed PhD in a relevant field. The succ...

Yale University’s Institute for Foundations of Data Science (FDS) is inviting applications for postdoctoral positions in Data Science , with a strong emphasis on the mathematical, algorithmic, and statistical foundations of data science and applications across disciplines. These are generously supported postdoctoral fellowships expected to last 2–3 years . FDS postdocs can work with multiple mentors from among institute members and may change mentors during the fellowship, making this a flexible...