140 computer-security-"https:"-"https:"-"https:"-"https:" positions at ETH Zurich in Switzerland
Sort by
Refine Your Search
-
, Switzerland [map ] Subject Areas: Computer Science / Distributed Systems and Networking , Networking , Networking and distributed systems Appl Deadline: 2026/01/08 11:59PM (posted 2025/11/10, listed until
-
Switzerland for more than 12 months in the 36 months immediately before their recruitment date. The student will be enrolled in the structured PhD programme of the Department of Mechanical and Process
-
their recruitment date. The student will be enrolled in the structured PhD programme of the Department of Mechanical and Process Engineering or the Department of Health Sciences and Technology
-
service providers operating in high-demand sectors including offshore wind, oil and gas, but also maritime security, demining (UXO, MCM) and search & rescue. As an ETH Zürich Spin-Off, we are a fast-growing
-
100%, Zurich, fixed-term The Center for Security Studies (CSS) at ETH Zurich is a center of competence for Swiss and international security policy. It offers expertise in research, teaching, and
-
to commercial-grade systems, we are seeking a visionary Lead Architect to drive the design and development of the V2.0 system. This role is critical for establishing technical novelty, securing a new IP portfolio
-
organised individual to support multiple experimental and computational research groups. The successful candidate will contribute to both a collaborative research network and institute-wide activities
-
work closely with Professor Platt, guide the group’s computational research, contribute to ongoing projects, and pursue independent research directions aligned with the laboratory’s goals. Project
-
. Profile Ph.D. in Nuclear Engineering, Physics, Chemical Engineering, or a related field. Experience with computational chemistry and simulation tools. Prior knowledge of nuclear safety, severe accident
-
-phonon coupling elements. With these, dedicated scattering rates can be computed and then used in quantum transport simulations. Down the line, we aim to pre-train a common GNN backbone model capable