Norbert Wiener Postdoctoral Fellowship in Statistics Massachusetts 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....

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...

Postdoctoral Associate opportunity at the University at Buffalo (School of Management, Center for Supply Chain Analytics) in Operations Management , Strategy , and Supply Chain Analytics . The role supports two research directions: the NY SMART I-Corridor / SCAN project focused on semiconductor supply chains and inclusive regional economic growth, and a Center of Excellence for Cross-Border Supply Chains focused on tracking, chain of custody, warehouse management, ocean freight optimization, res...

The Department of Mathematics at the University of Wisconsin–Madison is offering a postdoctoral position in scientific computing, machine learning/artificial intelligence, data science, and inverse problems. The project sits at the intersection of applied mathematics and computational research, with the postdoctoral scholar contributing to work in scientific machine learning and related areas. The postdoc will be supervised by Professors Qin Li and Sam Stechmann, whose research pages are provide...

This fellowship at the U.S. Food and Drug Administration’s Center for Devices and Radiological Health places participants in a regulatory science research environment focused on artificial intelligence and machine learning for medical devices. The project addresses the safety and effectiveness of AI/ML-enabled devices across healthcare uses such as image processing, disease detection, diagnosis, and therapeutic monitoring. Working under FDA mentorship, the fellow will engage with research challe...