Post-Doctoral Fellow in AI Uncertainty Quantification and Conformal Prediction The George Washington University in United States

RIKEN is recruiting a few Research Scientists or Postdoctoral Researchers in the Learning Optimization Platform Development Unit within the AI for Science Platform Division at the RIKEN Center for Computational Science in Tokyo, Japan. The position focuses on AI for Science , computational science , high performance computing , and intelligent informatics . Research topics include applying and developing AI optimization methods for scientific applications such as imaging (CT, MRI), life science,...

Viacheslav Borovitskiy, Assistant Professor (Machine Learning) at the University of Edinburgh , is recruiting PhD students for 2027 in the GLUEd group: Geometric Learning & Uncertainty in Edinburgh . The group works on geometric learning , uncertainty quantification , and the intersection of these areas. This is a strong fit for students interested in machine learning, geometric deep learning, and mathematically grounded approaches to uncertainty. Funding routes mentioned include the ELLIS PhD P...

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 Applied Research Laboratory for Intelligence & Security (ARLIS) at the University of Maryland, College Park is hiring for a Machine Learning Application Engineer role supporting government-sponsored work in machine learning , natural language processing , computer vision , human-machine teaming , and operational analytics. This is a staff/faculty regular opportunity with multiple levels available across two tracks: Research Specialist and Research Engineer . The work focuses on building end-...

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...