26 phd-machine-learning PhD positions at Chalmers University of Technology in Sweden

PhD student in AI / Machine Learning - Reinforcement Learning

This PhD position offers a unique opportunity to dive into the exciting area of reinforcement learning within the broader landscape of AI and machine learning. As a candidate, you'll have the chance

PhD student position in neutron scattering studies of..

the structural, electronic (and photoluminescent), and dynamical properties of the 2D HOIPs, to compare with the experiments. In particular, machine learning force field (MLFF) will be exploited to study finite

PhD student position in geometric deep learning

--1-12937 Is the Job related to staff position within a Research Infrastructure? No Offer Description Are you driven by the challenge of advancing the boundaries of machine learning and computer vision

PhD student position in geometric deep learning

Are you driven by the challenge of advancing the boundaries of machine learning and computer vision? Join the Computer Vision Group as a PhD student, and be at the forefront of groundbreaking

PhD student positions in theory and modeling of fusion energy experiments

, a combination of theory, numerical modeling and the application of machine learning for reduced physics and surrogate models are used. The research will be performed in an international environment

PhD student position in deep generative modeling for medical image analysis

Are you passionate about pushing the frontiers of machine learning, computer vision, and their applications in medical imaging? Join the Computer Vision Group as a PhD student specializing in deep

PhD student position in Software Performance Engineering

Engineering, designed for 5 years. As a PhD student, you acquire the skills and knowledge to conduct independent research in the field of software engineering, with a special focus on software performance

PhD student position in neutron scattering studies of 2D hybrid organic-inorganic perovskites for energy applications.

the structural, electronic (and photoluminescent), and dynamical properties of the 2D HOIPs, to compare with the experiments. In particular, machine learning force field (MLFF) will be exploited to study finite

PhD student position in AI-driven optimization of..

on the software side: - Warm-start for VQAs using the underlying structure of molecules and their Hamiltonians – to minimize the number of quantum-classical computer cycles needed for convergence. - Learning

PhD student in Neuro-symbolic AI for Mathematical Discovery

researchers working in AI across Sweden and abroad. Major responsibilities We are looking for a PhD student with an interest in neuro-symbolic AI (machine learning and symbolic methods) to work as a researcher