Postdoctoral Positions in Computing and Mathematical Sciences (CMS) California Institute of Technology 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....

Princeton University’s Department of Computer Science is seeking applications for a Postdoctoral Research Associate in Theoretical Computer Science and Theoretical Machine Learning . The opportunity is based at Princeton University in the United States and is aimed at candidates with strong research backgrounds in computer science , mathematics , and related areas of machine learning . The post is open to postdoctoral or more senior research positions . Postdoctoral appointments are for one year...

Purdue University is advertising a Postdoctoral Scientist in quantum computing within the Computer Science group of Alex Pothen . The research is centered on algorithms for analyzing time series data using quantum machine learning , with evaluation against classical machine learning and statistical methods. The role combines algorithm development, implementation, and benchmarking on quantum computers, and includes collaboration with colleagues at Purdue and an industrial partner. The post is bas...

Rice University’s Department of Statistics is hiring a Postdoctoral Associate in statistics for research in statistical learning , with emphasis on uncertainty quantification , conformal prediction , and reliable machine learning under distribution shift . The postdoctoral researcher will work with Dr. Judy Wang and contribute to independent and collaborative projects in statistical methodology, theory, computation, and related areas of machine learning and artificial intelligence. The role is d...

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...