Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- ETH Zurich
- ETH Zürich
- Empa
- University of Basel
- Academic Europe
- University of Zurich
- Swiss Federal Institute for Forest, Snow and Landscape Research WSL
- EPFL
- Ecole Polytechnique Federale de Lausanne - EPFL
- Nature Careers
- University of Applied Sciences Northwestern Switzerland
- University of Berne, Institute of Cell Biology
- 2 more »
- « less
-
Field
-
which the rights and dignity of all our staff and students are respected. Visit our Equal Opportunities and Diversity website to find out how we ensure a fair and open environment that allows everyone
-
description ESR16 will elaborate on the damage detection and localization problem of wind turbine (WT) blades. WT blades are amenable to quite complex mechanical and environmental loading over their life cycle
-
work on designing novel Smart Sensors & Energy Efficient Machine Learning on Microcontrollers. The objectives of this thesis include: Design and prototype modular, low-cost sensor nodes integrating
-
communication to the base. This objective will be addressed by: Elaborating on the vibration harvesting technology, depending on the vibration frequency and amplitude. This is highly application dependent
-
). The doctoral candidate will work on distributed intelligence and decision support for fleet-level monitoring of critical infrastructure. The objectives of this thesis include: developing graph-based and
-
, ensuring strategic alignment with objectives and expected outcomes, timely achievement of milestones, submission of deliverables, and efficient allocation of resources. Stakeholder engagement & co-creation
-
) distributional generalization, transfer learning, causality Multi-objective settings and alignment, RL theory Statistical learning theory, optimization (e.g., implicit bias) Robustness (broadly defined), privacy
-
of Geoinformation Engineering (Prof. Dr. Martin Raubal), the Department of Transport and Planning at TU Delft, and Mobility Car Sharing. Job description The main objective of this PhD position is the investigation
-
the interrogation of chiral systems down to the nanometer scale. Project background Chirality describes whether an object is non-superimposable with its mirror image. Despite being a purely geometric property
-
profile PhD in Computer Science, Data Science, Machine Learning, or a related discipline. Proven experience in computer vision (e.g. image processing, deep learning, object detection, segmentation) and