Postdoc opening in machine learning at BOLD Lab AI, University of Oxford University of Oxford in United Kingdom

Join the BOLD Fellowships in fundamental AI across University of Oxford , University College London , and Imperial College London . This post advertises up to 12 fellowship positions for researchers working in machine learning and related areas, with a strong emphasis on ambitious, high-impact research. The fellowships are described as 12-month posts with full academic freedom and highly competitive salaries of up to £84,663 . The organizers also note that they are exploring options to accommoda...

Two-year postdoctoral opportunity in Artificial Intelligence and Machine Learning at the University of Bath . The LinkedIn post from Tom Haines (Senior Lecturer at Bath) points to an Artificial Intelligence Research Associate role and notes that the position is connected to the Centre for AI and supported by initial funding from a prosperity partnership. This is a strong fit for candidates with research interests in Computer Science , especially AI/ML methods, data-driven systems, and related ma...

Adelaide University Graduate Research School is advertising a National Industry PhD opportunity titled Data-Efficient Transformers . The project focuses on AI transformers and how they can be trained more effectively using small datasets , making it a strong fit for students interested in Computer Science , Mathematics , Artificial Intelligence , and related machine learning research. The PhD is hosted at the CommBank Centre for Foundational AI Research at the Australian Institute for Machine Le...

PhD opportunity at the University of Birmingham in trustworthy machine learning and AI , with a focus on robustness, privacy, data heterogeneity, distributed learning, differential privacy, sampling algorithms, probability, and statistics . The School of Mathematics is advertising two theoretical PhD project directions under the broad theme of trustworthy machine learning and AI: 1) Robust and private learning in heterogeneous and distributed environments , including network and tensor data, dat...

PhD student in Algorithmic Foundations of AI-assisted Consensus and Ranking at KTH Royal Institute of Technology in Stockholm, Sweden. This doctoral project sits within Computer Science and focuses on developing algorithms for selecting and ranking content by crowd consensus using only interaction data, without editorial discretion. The research is positioned at the intersection of algorithmic foundations , social choice theory , axiomatic approaches , and human-AI collaboration , with clear rel...