Sort by
Refine Your Search
-
Listed
-
Employer
-
Field
-
PhD Program Coordinator (30%) Starting date: September 1st 2025 or earlier by agreement The Faculty of Psychology is one of seven faculties of the oldest university in Switzerland. With our core
-
and high-speed electronics circuit design and test. Experience in quantum information processing and quantum communication algorithms, as well as fiber optics instrumentation are a strong plus. Profile
-
Our research group focuses on the development of AI algorithms for industrial applications. The main scope of our activities is the optimization and automation of workflows and production systems
-
institutions, to build a framework for discovering, sharing and executing data and algorithms in a distributed environment. The main technology will be Python, though Scala and Typescript knowledge are a plus
-
to supervise and support student projects. Workplace Workplace We offer We offer a full-time position for a scientific assistant, with the option to do a PhD thesis at ETH. Through the close cooperation with our
-
100%, Zurich, fixed-term We invite applications for a PhD position in the field of AI-driven Traffic Control and Antifragility in Urban Mobility Systems. The successful candidate will join a dynamic
-
algorithms and AI-based solutions for data processing and validation, and provides scientific expertise for the implementation of future remote sensing missions. The team’s work bridges earth observation with
-
systems. Your work will help to define the quality and features of our algorithms. Armed with your innovative spirit and project experience, you will manifest fresh ideas and novel approaches
-
scientific questions or develop algorithms that perform automatically some challenging tasks. This typically involves exchanging actively with collaborators and domain experts to understand the precise
-
. Integrate various datasets, such as tree species annotations, climate, and topography, into deep learning algorithms. Test deep learning models (Transformers and CNNs) for optimal accuracy using large