Postdoctoral Research Associate in Theoretical Computer Science and Theoretical Machine Learning Princeton University in United States

Sandia National Laboratories is accepting applications for the S. Scott Collis Fellowship in Data Science , a postdoctoral opportunity focused on cutting-edge data science research with real-world impact. The post highlights an engaging research environment and suggests work at the intersection of computational analysis, statistics, and applied data-driven methods. This is a strong fit for candidates with interests in Computer Science , Statistics , Mathematics , and related quantitative fields....

The National Laboratory of the Rockies is seeking a Postdoctoral Researcher in Numerical Optimization and Experimental Design for a cross-disciplinary project in the Artificial Learning and Intelligent Systems group within the Computational Science Center. The research focuses on optimization and adaptive experimental design for cross-scale scientific applications, ranging from laboratory-scale to pilot-scale systems, with relevance to critical minerals and energy innovation. The postdoctoral re...

The George Washington University’s EPIC Lab is recruiting for fully funded PhD and postdoctoral positions in physical AI , robotics , and multimodal perception . The lab’s research centers on probabilistic estimation , perception, and building reliable intelligence for systems that act in the physical world. This is a strong fit for applicants interested in machine learning for robotics, perception systems, and AI for embodied agents. Location: United States Institution: George Washington Univer...

The Department of Mathematics at the University of North Carolina at Chapel Hill invites applications for a Postdoctoral Research Associate in geometric optimization and scientific computing. The position is located in Chapel Hill, North Carolina, United States, and begins July 1, 2027. The initial appointment is for one year, with the possibility of renewal for a second year. The postdoctoral scholar will work with the Principal Investigator on research at the intersection of optimization, geom...

PhD opportunity in Machine Learning at the University of Arkansas with the Arkansas Machine Learning Group. The group works on adaptive decision-making in complex systems , including sample-efficient sequential decision-making , Bayesian optimization , active learning , and search/exploration/planning for language models . Students may also apply these methods to scientific discovery, supply chains, and other real-world decision-making problems. Ideal applicants have a strong background in compu...