Sort by
Refine Your Search
-
Listed
-
Employer
- University of Basel
- ETH Zürich
- Empa
- Swiss Federal Institute for Forest, Snow and Landscape Research WSL
- EPFL
- Ecole Polytechnique Federale de Lausanne
- Universität Bern
- ZHAW - Zurich University of Applied Sciences
- Academic Europe
- ETH Zurich
- Ecole Polytechnique Federale de Lausanne - EPFL
- University of Applied Sciences Northwestern Switzerland
- University of Bern
- University of Berne, Institute of Cell Biology
- University of Zurich
- École Polytechnique Fédérale de Lausanne (EPFL)
- 6 more »
- « less
-
Field
-
national research infrastructure shaping the future of surgery (https://or-x.ch ) Opportunities to participate in international conferences and workshops Teaching experience and supervision of MSc student
-
deep learning, signal processing, statistics, or learning theory. Knowledge of energy systems, multi-energy infrastructures, or urban energy applications is a strong asset. You are self-driven, creative
-
enrolled at ETH Zürich, with Prof. Salvador Pané i Vidal as academic supervisor (Department of Mechanical and Process Engineering, D-MAVT). You will be employed at Empa in St. Gallen full-time for three
-
connections all over the world, we work together to develop solutions for the global challenges of today and tomorrow. Where to apply Website https://academicpositions.com/ad/eth-zurich/2025/phd-position
-
new ones at this stage of the application process) Please note that we exclusively accept applications submitted through our online application portal. Applications via email or postal services will not
-
processes in flow batteries. This project focuses on developing physics-based models of electrochemical double layers and their spectro-electrochemical characterisation, contributing to fundamental
-
for an exceptional candidate with a curious, creative, and critical attitude who is enthusiastic about sports and data. We treat research as a team sport and expect the same of you. You have a solid background in
-
process, we aim to enable precise and timely medication dosing based on sensor data. This breakthrough technology will provide real-time monitoring, precise and controlled dosing, and improved effectiveness
-
17 Oct 2025 Job Information Organisation/Company ETH Zürich Research Field Chemistry » Other Engineering » Chemical engineering Engineering » Computer engineering Engineering » Electrical
-
at ZHAW over a period of 36 months. We are seeking a highly motivated PhD candidate to join our research team working on mathematical modelling of electrochemical processes in flow batteries. This project