Postdoc in Probabilistic Machine Learning, Bayesian Deep Learning, and Probabilistic Circuits KTH Royal Institute of Technology in Sweden

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...

Postdoctoral position in Data Privacy and Machine Learning at Umeå University, Sweden . The Department of Computing Science is recruiting a postdoctoral researcher to work on privacy-aware machine learning , including data-driven models for complex and high-dimensional data, temporal data, synthetic data, and privacy-preserving methods at scale. The project covers privacy measures and models such as differential privacy , integral privacy, and k-anonymity , as well as centralized/decentralized s...

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...

IMT Atlantique is advertising a post-doctoral researcher position in mechanistic interpretability and diversity of representations , based in Brest, France , within the BRAIN team (BRoader Artificial INtelligence) of Lab-STICC (UMRCNRS 6285) . The position is part of the ENDIVE project, which studies how diversity can help machine learning when annotation budget is limited. The project investigates diversity at two levels: the diversity of training data and the diversity of internal representati...

Uppsala University is advertising a postdoctoral position in probabilistic methods for foundation models and world models at the Department of Information Technology , hosted by the Division of Scientific Computing and linked to SciLifeLab in Sweden. The project sits at the intersection of probabilistic machine learning , uncertainty quantification , generative models , Bayesian deep learning , and scientific machine learning . The successful candidate will work on making large pre-trained model...