Postdoctoral Position in Data Privacy and Machine Learning Umeå University in Sweden

Inria is advertising a Post-Doctoral Research Visit in Topology Design for Decentralized Federated Learning within the NEO project-team and the broader FedMalin research initiative. The project sits at the intersection of computer science , mathematics , machine learning , optimization , network science , and privacy . The research focuses on designing communication topologies for decentralized / peer-to-peer federated learning, balancing convergence speed and communication cost, and studying bo...

Inria is advertising a postdoctoral research visit in distributed learning for streaming data within the PRIDeL Associate Team project, involving Inria , Simula , and NYCU . The research sits at the intersection of distributed/federated learning , communication-efficient learning , differential privacy , edge inference networks , and learning with streaming or time-series data . The position is hosted by an Inria Centre in France and is expected to start on 2027-01-01 (default start date no late...

CRISTAL Lab at CISPA Helmholtz Center for Information Security in Germany is hiring for research openings in machine learning , LLM alignment , agentic AI , AI safety , robustness , continual learning , and benchmarking/evaluation . The post explicitly advertises PhD , postdoc , and intern opportunities, with a focus on building foundational science for safe, reliable, and context-aware AI. The lab emphasizes trustworthy AI research and related topics such as alignment, robustness, and evaluatio...

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....

Postdoctoral position on spreading processes in multilayer population-scale social networks , offered as part of eSSENCE – the Swedish eScience Collaboration school in data-intensive science. The research will contribute to expanding work on population-scale social networks, including analysis of spreading processes across multilayer networks and related work on network segregation. The project involves large-scale social-network data and computational, quantitative approaches relevant to networ...