PhD Positions in Quantum Physics and Machine Learning (EXPRESSO) at the University of Tübingen University of Tübingen in Germany

Up to three PhD positions are available in the interdisciplinary EXPRESSO project (Extracting Probabilistic Representations in Exponential Quantum Spaces) at the University of Tübingen. The project sits at the intersection of quantum physics and machine learning, with research topics including probabilistic simulation and inference for quantum gases, simulation-guided model discovery via adaptive amortized inference, and representation learning for optimization in exponential search spaces. The ...

Canva is advertising a PhD Research Scientist Intern role in Sydney, Australia (hybrid). This is a full-time, 16-week AI Research Internship starting in September for current PhD students , ideally in their third year or later. The internship sits at the intersection of Computer Science , Statistics , and Mathematics , with a strong focus on generative AI , video generative models , model pruning , and complementary optimization methods such as DMD and LoRA-based methods . Interns will work dire...

RIKEN is recruiting a few Research Scientists or Postdoctoral Researchers in the Learning Optimization Platform Development Unit within the AI for Science Platform Division at the RIKEN Center for Computational Science in Tokyo, Japan. The position focuses on AI for Science , computational science , high performance computing , and intelligent informatics . Research topics include applying and developing AI optimization methods for scientific applications such as imaging (CT, MRI), life science,...

PhD position at the Technical University of Munich (TUM) in Munich, Germany, focused on representation learning , self-supervised learning , medical deep learning , foundation models , and multimodal learning . The project is hosted by the AI-Assisted Healthcare Lab at the TUM School of Medicine and Health and is embedded in TUM University Hospital. The research aims to study why self-supervised objectives and predictive architectures may bias representations toward frequent patterns, and how to...

Postdoctoral Researcher opportunity in Computer Science or Statistics at the Karlsruhe Institute of Technology and the Heidelberg Institute for Theoretical Studies , working in an interdisciplinary Machine Learning and Artificial Intelligence group. The project focuses on the statistical calibration of generative models , especially for weather prediction , climate science , and broader multi-modal machine learning . The research aims to develop novel calibration techniques for generative ML mod...