25 machine learning scholarships at ETH Zurich

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

, …). Successful candidates should have: Solid working knowledge of software tools and environments for application deployment, optimization, and performance analysis Background in modern machine learning models

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)

-grained activity detection using electromyography sensors as input. Supplemental input modalities will include inertial sensors (IMU). The research will focus on machine learning-based signal processing and

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

proprioceptive technologies, and controlling the hand through sophisticated control algorithms and machine-learning techniques. Job description The doctoral research will be multidisciplinary, involving

PhD student in Physiological Sensing/BioEng

, and machine learning. We collaborate with several of them as well as institutions and companies in Switzerland and abroad. chevron_right Working, teaching and research at ETH Zurich We value diversity

PhD student in Multi-modal Input Decoding from Wearable Sensors (Human-Computer Interaction, Augmented Reality)

processing computational interaction/human-computer interaction machine learning on time series Key requirements for your application Following the high number of generic applications, please note that: We

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

mobility. Another research focus is on solid-state pulse modulators for medical applications (computer tomography/cancer treatment) and accelerators (CERN). For the design and optimisation of the various

PhD position in Computer Science for Circular Construction

will be involved in developing a new service for circular information management for construction elements and reality capture in existing buildings using computer vision and machine learning. It

PhD Position in Solid-State NMR

sequences Have experience with computer simulations and programming Your workplace Your workplace We offer ETH offers an exciting opportunity to work at the forefront of scientific research. Collaborations