Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
24 Sep 2025 Job Information Organisation/Company ETH Zurich Department Department of Materials Research Field Engineering » Materials engineering Engineering » Mechanical engineering Engineering
-
We are looking for highly motivated individuals with an outstanding academic background who are interested in pursuing a PhD in the research area of converter topologies and modulation strategies for low-power DC supplies with a very high efficiency and a very wide range of input voltages. Such...
-
. Job description The topic of your PhD will lie at the exciting interface of theoretical computer science, quantum computing architectures, and the foundations of quantum computing, with the exact focus
-
Theory, Queuing Theory, Age of Information), Network Calculus, Graph Theory, Convex and Non-convex Optimization, Approximation Algorithms. An excellent Master’s degree in Computer Science, Engineering
-
university degree (Bachelor’s or Master’s) in a relevant field; degrees in technical fields (computer science, mathematics, physics, engineering etc.) are a plus Fluency in English and German; French is a plus
-
, collaboration, and communication. The candidate will work closely with laboratory members (experimental and computational) and engage in planning projects and experiments, developing computational methods
-
or computer science Interesting in working with large datasets Strong English skills Workplace Workplace We offer Well equipped battery and optoelectronic laboratory Access to microscopy facilities
-
100%, Zurich, fixed-term The Energy and Process Systems Engineering (EPSE) Group at ETH Zürich is looking for a doctoral student to design a decision workflow for assigning CO2 capture technologies
-
100%, Zurich, fixed-term Design++ is the Center for Augmented Computational Design in Architecture, Engineering and Construction (AEC) at ETH Zurich. The center's vision is to remove collaboration
-
support productivity workflows, guided by emerging large language models. Candidates ideally have a background in Computer Science and prior experience with human-computer interaction (e.g., through courses