51 machine-learning-phd positions at ETH Zurich

PhD Position on “Secure Machine Learning on RISC-V Servers and Accelerators”

is a plus Requirements Additional Information Website for additional job details https://www.hipeac.net/jobs/14573/phd-position-on-secure-machine-learning-on-ri… Work Location(s) Number of offers

PhD Position on “Secure Machine Learning on RISC-V Servers and Accelerators”

candidates should have Solid working knowledge of software tools and environments for application deployment, optimization, and performance analysis Background in modern machine learning models, such as

PhD student in Machine Learning-based Event Detection in Electromyography Signals (EMG for AR/VR/XR and muscle training/rehabilitation)

in this PhD will focus on developing robust machine learning algorithms for signal processing and time series analysis. These algorithms are designed to detect specific events and detailed activities

PhD position in Differentiable Simulation and Machine Learning for Musculoskeletal Robotics

physical validation. You will regularly present your work at international robotics and machine learning conferences. Your responsibilities will also include supervising bachelor and master students in

PhD Position in Robotic System Integration for Musculoskeletal Robotic Hands

collaborate with other PhD students working on muscle technology, manipulation, control, and machine learning. The output of the PhD thesis will significantly contribute to the advancement of musculoskeletal

Research assistant with possibility for PhD – Optimization of Railway using Artificial Intelligence with Physical Models

in the field of production engineering. A further research focus is on novel topics such as additive manufacturing, Artificial Intelligence (AI), Machine Learning (ML), Big Data Analysis or Industry

PhD Position in Solid-State NMR

100%, Zurich, fixed-term Thesolid-state NMR research group in the Departement of Chemistry and Applied Biosciences is looking for a PhD student on the topic of pulse-sequence optimization based

PhD candidate for developing physics-based loss models of advanced magnetic devices for future highly efficient drive and converter systems

are lookingfor outstanding, highly motivated individuals interested in pursuing a PhD in the multidisciplinary and important research area of modelling and optimisation of magnetic components and electric machines

Postdoctoral Researcher in Generative AI for Mechanism Design

projects or employment). Your profile You have outstanding experience in Machine Learning with a PhD degree from a university in Computer Science, or related fields, with a proven track record in machine

Postdoctoral Researcher in Solid-State NMR and DNP

strategies to design pulse sequences for high-resolution solid-state NMR under magic-angle spinning and static DNP in close collaboration with two PhD students working on these topics. The efficiency