Sort by
Refine Your Search
-
Listed
-
Employer
- ETH Zurich
- University of Basel
- Nature Careers
- ETH Zürich
- Empa
- Swiss Federal Institute for Forest, Snow and Landscape Research WSL
- University of Zurich
- Academic Europe
- UNIVERSITY OF ST GALLEN
- EPFL
- EPFL - Ecole Polytechnique Fédérale de Lausanne
- ETH ZURICH
- Friedrich Miescher Institute for Biomedical Research
- Graduate Institute of International and Development Studies
- Paul Scherrer Institut Villigen
- Swiss Federal Institute of Technology Lausanne, EPFL
- University of Bern
- University of Geneva
- University of Lausanne;
- 9 more »
- « less
-
Field
-
Switzerland Application Deadline 6 Nov 2025 - 00:00 (UTC) Type of Contract Permanent Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job
-
project teams and meet with everyone at eye level. The individuals we work with are from a diverse range of backgrounds and study disciplines, which is why we communicate in English. As the projects we
-
field. The candidate must be able to communicate effectively in a highly interdisciplinary and international environment, which includes a mastery of oral and written English. The candidate will be
-
. Knowledge of water treatment processes is desired, but not necessary. Good knowledge of English (spoken and written) is essential. Applicants should hold a MSc degree (or equivalent) in environmental
-
Nov 2025 - 23:57 (UTC) Type of Contract Other Job Status Other Hours Per Week 42 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff
-
English language skills and the ability to work successfully and collaboratively on diverse, multinational teams. Preferred candidates will also possess working knowledge of recent Machine Learning or HPC-related
-
are requiered, as the role will involve daily interactions with international PhD students and postdoctoral research fellows Workplace Workplace We offer Additional training will be provided
-
laboratories and in data analysis. Prior experience in nanofabrication, nano- and meta-optics, optomechanics, vacuum technology, programming for experiment control is highly valued but not mandatory. Workplace
-
computing). Excellent communication skills and a collaborative mindset, with a track record of interdisciplinary work. Fluency in English (written and spoken). We seek a curious, proactive individual
-
to power outstanding events and digital outreach. Requirements A university degree, ideally with exposure to AI topics or international affairs Professional fluency in English; German is an asset Strong