PhD in Machine Learning for Graph Transformations and Symbolic Machine Learning Umeå University in Sweden

This PhD project at Umeå University sits in the Department of Computing Science and focuses on machine learning for graph transformations . The research aims to combine deep learning with grammatical inference to build models that are interpretable, efficient, and mathematically verifiable, while still benefiting from the flexibility of neural methods. The project is centered on graphs as a representation of structured information, from sentences and computer programs to social networks, and on ...

Princeton University’s Department of Computer Science is seeking applications for a Postdoctoral Research Associate in Theoretical Computer Science and Theoretical Machine Learning . The opportunity is based at Princeton University in the United States and is aimed at candidates with strong research backgrounds in computer science , mathematics , and related areas of machine learning . The post is open to postdoctoral or more senior research positions . Postdoctoral appointments are for one year...

Umeå University (Sweden) is recruiting one to two PhD students in Statistics for the research project “Next-Generation Latent Variable Models for Social Data Science” at the Umeå School of Business, Economics and Statistics (USBE), Department of Statistics. The project focuses on statistical theory, methodology, and computational methods for complex social science data, with emphasis on latent variable models and their connections to modern machine learning . The research is motivated by applica...

Chalmers University of Technology is advertising a doctoral student position in Explainable Machine Learning for Nuclear Safeguards within the Reactor Physics, Modelling and Safety group at the Department of Physics and Astronomy in Gothenburg, Sweden. The project sits at the intersection of computer science , physics , mathematics , machine learning , deep learning , explainable AI (XAI) , reactor physics , and nuclear safeguards . The research focuses on developing an XAI framework for spent n...

Doctoral Student in Machine Learning for Quantum Error Correction at Chalmers University of Technology in Gothenburg, Sweden. This PhD project sits at the intersection of machine learning , quantum error correction , quantum computing , coding theory , and information theory . The goal is to develop learning-based decoders that are fast, scalable, and compatible with the strict latency and hardware constraints of practical quantum systems. The project is part of QuBriC , a European Marie Skłodow...