Sort by
Refine Your Search
-
Listed
-
Employer
- Empa
- University of Basel
- ETH Zürich
- Paul Scherrer Institut Villigen
- ZHAW - Zurich University of Applied Sciences
- Academic Europe
- EPFL
- ETH Zurich
- Ecole Polytechnique Federale de Lausanne
- Ecole Polytechnique Federale de Lausanne - EPFL
- Prof. Dr. Ricarda Toerner
- Swiss Federal Institute for Forest, Snow and Landscape Research WSL
- University of Applied Sciences Northwestern Switzerland
- University of Bern
- University of Zurich
- 5 more »
- « less
-
Field
-
funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The Chair of Science, Technology, and Innovation Policy (STIP lab) at EPFL is offering a
-
FieldEngineering » Electrical engineeringEducation LevelMaster Degree or equivalent Skills/Qualifications Good use of Cadence Specific Requirements Analog circuit design Subthreshold analog circuit knowledge
-
and validate developed methods on embedded platforms and sensor prototypes. Collaborate with experts in embedded systems, digital IC design, and applications to realize end-to-end human–computer
-
Bern and Zurich to develop multi-compartments OOC systems integrating blood and lymphatic vasculature with key mechanical cues of the lung microenvironment Characterization: Design chips based
-
planetary boundaries by analyzing and evaluating novel materials and technologies from a circularity, life cycle impacts and safety perspective, and providing guidance for designing more sustainable materials
-
experience in at least some of the following areas: (magneto-)optical spectroscopy at cryogenic conditions, exfoliation and stacking of two-dimensional materials, design and handling charge-tunable
-
to design and execute a pilot CO₂ injection into a saline aquifer to test its behaviour and migration. This PhD project forms part of this study that aims to assess the feasibility, safety, and societal
-
crucial insights. In this project, you will contribute to the development of AI-driven methodologies for experimental fluid mechanics , focusing on: Designing multi-fidelity neural networks for adaptive
-
solution for through-thickness reinforcement of FRPs. Your tasks You will work in collaboration with a postdoctoral researcher/scientist mainly on: Design and manufacturing of SMA Z-pinned FRPs SMA
-
progression-and where we can intervene. This research is supported by the ERC Starting Grant. Start date: Flexible, between 1 March and 1 September 2026. Your position Design, plan, and perform experiments