PhD in Machine Learning for Quantum Systems Leiden University in Netherlands

Leiden University is advertising a fully funded PhD position in Machine Learning and Quantum Systems within the Interpretable Machines for Physics Group at LIACS, Faculty of Science . The project focuses on interpretable, reliable, and scalable machine learning for quantum many-body physics and quantum systems . This is a strong fit for applicants interested in the intersection of computer science , physics , and machine learning , especially those with an interest in deep learning methods appli...

The University of Amsterdam’s Amsterdam Machine Learning Lab (AMLab) is recruiting a postdoctoral researcher for a two-year project on symmetries and their breaking in deep learning , supported by a Simons Foundation grant. The project investigates how complex capabilities emerge from simple neural-network components and aims to use mathematically principled insights to design more robust, efficient, controllable, and scientifically useful machine-learning systems. Working with Associate Profess...

PhD Student (Research Assistant) position at the Center of Trustworthy AI for Life Sciences – International Research Agendas Programme, University of Warsaw This PhD opening is part of the Center of Trustworthy AI for Life Sciences (TRAILS) at the University of Warsaw, in Warsaw, Poland. The project sits at the intersection of applied mathematics and computer science, with a strong focus on topological data analysis (TDA) and trustworthy artificial intelligence. The successful candidate will wor...

The University of Amsterdam’s Faculty of Science is recruiting multiple PhD candidates for a project on symmetries and their breaking in deep learning , supported by a Simons Foundation grant. The positions are based in the Amsterdam Machine Learning Lab (AMLab), in a new research group led by Associate Professor Nabil Iqbal at the intersection of deep learning and physics. The project seeks mathematically principled explanations for how modern neural networks develop complex capabilities from s...

PhD opportunity in computational aeroacoustics, CFD, and interpretable deep learning at the Université de Sherbrooke in Canada, with collaboration from ISAE-Supaero in France. The project focuses on wall-pressure modeling for airfoil noise predictions using direct numerical simulations (DNS) , large-eddy simulations (LES) , and machine learning . The research aims to improve prediction of wall-pressure spectra for broadband trailing-edge noise by extending training databases, incorporating non-e...