PhD in Mathematical Foundations of Machine Learning at the University of Bern University of Bern in Switzerland

PhD Position in Mathematical Foundations of Machine Learning at the University of Bern , Switzerland. This PhD project sits at the interface of mathematics , statistics , and modern AI / machine learning . The research is primarily theoretical and aims to develop a rigorous understanding of modern learning algorithms, including how architecture and dynamics shape performance. Possible directions include training dynamics and signal propagation in deep neural networks and transformers, generative...

Postdoctoral Position in Soccer Analytics at ETH Zürich in the Algorithms and Visualization Group within the Social Networks Lab , headed by Prof. Dr. Ulrik Brandes . The group develops network data science methods for applications across domains, and this opening focuses on sports analytics , especially association football (soccer) . The successful candidate will work on innovative approaches for match analysis and performance analysis using high-quality event and tracking data, collaborate wi...

Yale University’s Institute for Foundations of Data Science (FDS) is inviting applications for postdoctoral positions in Data Science , with a strong emphasis on the mathematical, algorithmic, and statistical foundations of data science and applications across disciplines. These are generously supported postdoctoral fellowships expected to last 2–3 years . FDS postdocs can work with multiple mentors from among institute members and may change mentors during the fellowship, making this a flexible...

EPFL’s Artificial Intelligence in Molecular Medicine (AIMM) Lab is recruiting a postdoctoral researcher for frontier research in generative AI and foundation models . The lab is led by Prof. Charlotte Bunne and is affiliated with the School of Computer and Communication Sciences, the School of Life Sciences, and the EPFL AI Center. The position is highly methodological and focuses on developing new generative modeling approaches, scalable training algorithms, and foundation model technologies. R...

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,...