80 machine-learning "https:" "https:" "https:" "https:" "University of St" PhD positions in Switzerland
Sort by
Refine Your Search
-
Listed
-
Employer
- University of Basel
- ETH Zürich
- Empa
- Swiss Federal Institute for Forest, Snow and Landscape Research WSL
- Universität Bern
- ZHAW - Zurich University of Applied Sciences
- Academic Europe
- EPFL
- ETH Zurich
- Ecole Polytechnique Federale de Lausanne
- Physikalisch-Meteorologisches Observatorium Davos (PMOD)
- University of Applied Sciences Northwestern Switzerland
- University of Bern
- University of Berne, Institute of Cell Biology
- University of Zurich
- 5 more »
- « less
-
Field
-
at the interface of machine learning, statistics, and live-cell biology. The position is co-supervised by Prof. Olivier Pertz (Cell Biology) and Prof. David Ginsbourger (Statistics), and the student will be equally
-
learning, non-Hermitian systems The Quantum AI lab at ETH (Prof. Juan Carrasquilla ) invites applications for PhD positions to work at the intersection of computational quantum many-body physics, machine
-
funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description PhD Position in Energy-Efficient Machine Learning for Wearable and Augmented Reality
-
optimization – with rigorous theoretical analysis. The ideal candidate has strong machine learning and AI expertise and is comfortable with – or eager to learn – large-scale multi-GPU experimentation
-
systems, and space applications. We combine theory, physics-based simulations, machine learning, and autonomous workflows to understand and design materials that can perform under conditions where
-
combining advances in Physics-Informed Machine Learning (PIML) and Graph Neural Networks (GNNs) with real-world energy applications, the project aims to better capture the dynamics of urban infrastructures
-
transfer, developing and employing computer simulations, laboratory experiments, and field analyses. Our aim is to gain fundamental insights and develop sustainable technologies to address societal needs
-
essential, while experience with machine learning is advantageous but not strictly required. Excellent English skills, both in verbal and written communication, are required for the project. We are looking
-
Your profile PhD applicants must hold a Master's degree in computer science, mathematics, or electrical engineering, with demonstrated strength in either practical implementation or theoretical foundations. Candidates should possess an exceptional academic record and a strong mathematical...
-
senior members in the lab, and at the same time to play an active role in shaping and creating inspiring research and working environment. In line with our and Uni Basel values (https://www.unibas.ch/en