74 machine-learning positions 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

Postdoctoral Researcher in Explainable Machine Learning for Health Status Monitoring and Modelling

for a closed-loop decision support system that can be verified in rehabilitation in many health conditions. This position is open for a postdoctoral researcher in the field of transparent machine learning

Post-doctoral Position in Machine Learning for Engineering Design

position in the area of Machine Learning for Engineering Design under the guidance of Prof. Mark Fuge, the Chair of Artificial Intelligence in Engineering Design. The general area of the laboratory covers

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

Research Assistant Position: Development of Rail Roughness Measuring Technique and Big Data Analysis

on machine tools and in the field of production engineering. Recent topics of research focus on novel technologies such as additive manufacturing, Artificial Intelligence (AI), Machine Learning (ML), Big Data

Postdoctoral Researcher in Generative AI for Mechanism Design

 machine learning to develop an automated design process of mechanical walking aids, analyse gait patterns and make biomechanical simulations embedded in the generative mechanism design process. In

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