7 deep-learning PhD positions in Switzerland

PhD Position in Machine Learning and Computer Vision

world models with deep learning methods. World models are generative models that predict future outcomes given past ones. We aim to work with both images and audio modalities and be able to use the world

PhD position in the field of Quantum Machine Learning (Prof. A. Lucchi, Dr. Stefan Woerner and Dr. David Sutter)

The University of Basel (Prof. Aurelien Lucchi) and IBM Research Zurich (Dr. Stefan Woerner and Dr. David Sutter) are seeking applications for a PhD position in Quantum Machine Learning

PhD student in Physiological Sensing/BioEng

physiological sensing systems (e.g., PPG, ECG, EOG, ...) bonus: ML-based signal processing (deep learning on time series) Application documents to be submitted a PDF showing your projects that are most relevant

PhD Candidate Distributed Information Systems in eHealth 70%

Requirements - Master's degree in Computer Science with very good marks (obtained or close to be obtained) - Deep knowledge and interest in advancing applications of distributed information systems to solve

PhD student position in Computer Vision

). The PhD dissertation project will focus on how to experimentally capture hypothetical ductus (stroke order and direction of writing) reconstructed by experts and to design deep learning pipelines as

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

necessarily tied to a deep understanding of the system architecture, both from the hardware and the software point of view across the whole stack (e.g., compilers, low-level programming, …). Successful

PhD position in Electrochemical Energy Storage and Conversion

description This full-time position offers students an excellent opportunity to delve into energy science and gain deep fundamental knowledge of electrochemical processes. You will join an inclusive, non