18 computer-security "https:" "https:" "https:" "https:" "https:" "https:" "U.S" "St" "St" "St" scholarships at Empa
Sort by
Refine Your Search
-
(R1) Application Deadline 22 Jun 2026 - 21:59 (UTC) Country Switzerland Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU
-
14 Mar 2026 Job Information Organisation/Company Empa Research Field Chemistry » Analytical chemistry Chemistry » Biochemistry Chemistry » Computational chemistry Chemistry » Inorganic chemistry
-
for PhD students and postdocs. Learn more at https://www.muoniverse.ch/ . Muoniverse positions often serve as bridges between individual research groups and institutions, supported through dedicated
-
PhD candidate who is eager to engage in cutting-edge research and contribute to the success of the project. Our offer The Biointerfaces Laboratory is located in St. Gallen at the Swiss Federal
-
14 Feb 2026 Job Information Organisation/Company Empa Research Field Computer science » Other Engineering » Other Mathematics » Applied mathematics Technology » Energy technology Technology
-
15 Jan 2026 Job Information Organisation/Company Empa Research Field Computer science » Other Engineering » Other Mathematics » Applied mathematics Mathematics » Statistics Researcher Profile First
-
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
-
collaboration with PD Dr. Isabel Hostettler (HOCH Health Ostschweiz). The candidate will perform research at Empa in St. Gallen with joint affiliation to ETH Zürich (D-HEST, Prof. Peter Wick). Desired starting
-
Laboratory is located in St. Gallen at the Swiss Federal Laboratories for Materials Science and Technology (Empa). Our team is highly interdisciplinary and international, providing an inspiring environment
-
to study and predict. In this four-year SNF-funded project, you will develop data-driven, multiscale simulation methods that combine computer simulations, machine learning, and surrogate models to explore