PhD in Algorithmic Foundations of AI-Assisted Consensus and Ranking KTH Royal Institute of Technology in Sweden

Digital Futures and KTH Royal Institute of Technology are advertising a 2-year international postdoctoral fellowship in probabilistic machine learning . The position is hosted in Martin Trapp’s group and focuses on two possible research directions: Bayesian deep learning and model complexity , or probabilistic circuits for exact and approximate probabilistic inference . The post is aimed at candidates with a strong background in machine learning or statistics , especially those interested in dev...

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...

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...

Linköping University in Sweden is recruiting 1–2 PhD students in the Division of Computer Vision and Learning Systems (CVL) at the Department of Electrical Engineering (ISY). The project sits in visual learning theory and focuses on machine learning of geometric representations, understandable latent representations, and implicit neural models. The post is connected to the ELLIIT project Learning Geometric Representations (Legere) . Applicants should have a Master’s degree in computer science an...