PhD positions in uncertainty quantification and uncertainty-aware machine learning at The Ohio State University The Ohio State University in United States

Fatemeh Nosrat, Assistant Professor in the Department of Industrial and Systems Engineering at the University of Florida , is advertising a fully funded PhD opportunity for Spring 2027/Fall 2027 . The position is in operations research and optimization , with applications in healthcare . The post highlights related interests in mathematical analysis , real analysis , stochastic modeling , statistical learning , and machine learning methods such as tree-based methods, neural networks, and reinfor...

Dr. Sam Smith, incoming Assistant Professor in Civil Engineering at Kansas State University, is launching the Structural Intelligence Lab and recruiting multiple PhD students . The lab will focus on the intersection of structural engineering , mechanics , machine learning , and computational modeling . The post highlights a research vision centered on developing, evaluating, and critically examining AI methods for structural engineering applications, with attention to both the promise and the li...

George Washington University, via the NIST Professional Research Experience Program (PREP), is hiring a Post-Doctoral Fellow for AI uncertainty quantification and conformal prediction in Gaithersburg, Maryland at the NIST campus. The project focuses on making black-box AI systems more mathematically honest under shifted or out-of-distribution data. The fellow will build a Python-based numerical testbed for complex sequential decisions, integrate distribution-free statistical theory into deep lea...

Centrum Wiskunde & Informatica (CWI), the Dutch national research institute for mathematics and computer science, invites applications for a postdoctoral researcher position in probabilistic turbulence models within the Scientific Computing research group. The position is part of the ERC Consolidator project SYMBIOSIS, which aims to develop entropy-based closure models for turbulent flows, combining physical and information-theoretic perspectives to enable entropy-stable simulations of fluid flo...

Co-op opportunity in Machine Learning for Digital Twins at Lila Sciences This post advertises a co-op opening in Machine Learning for Digital Twins at Lila Sciences in Cambridge, Massachusetts, United States. The role is aimed at a Master’s or PhD student with strong interest in applying machine learning to scientific and experimental systems. The work sits within Physical Sciences AI and focuses on building calibrated, uncertainty-aware digital twins that support the design and execution of nex...