27 Phd-candidate Jobs in Wallisellen

PhD student in Data-Driven Modeling of Amorphous Materials for Sustainable Catalysis Materials science and technology are our passion.

What we need to see: Recent graduate with a Ph.D. in CS/CE/EE with a strong background in operating systems, distributed systems, inference and training systems,

We are seeking an enthusiastic, qualified PhD candidate to join our research team working on environmental genomics and systems biology.

We are seeking a motivated and curious PhD candidate to join our research team and contribute to the development of next-generation optical nanosensors for rapid

PhD-Stelle in einem SNF-Projekt zur Erforschung des Phänomens «Sterbefastens» in Pflegeheimen 100 % Nutzen Sie die Chance, im Rahmen eines SNF-Projekts zu promovieren

From March 2026 , we offer a 4-year position as a PhD student in 3d multi-scale Remote Sensing (f/m/d) You will be part of a collaborative project focusing on deadwood

PhD student in Autonomous Velocimetry for Fluid Mechanics Materials science and technology are our passion.

PhD student in the field of numerical simulation of plasma-based methane decomposition Materials science and technology are our passion.

Together, UESL and IMOS are seeking a motivated and qualified PhD candidate to advance the use of hierarchical graph neural networks for modeling multi-scale urban

thesis at ETHZ Your profile Highly motivated and talented candidate with a Master’s degree in civil engineering, mechanical engineering, or a related discipline

The Department of Surface Waters – Research and Management located in Kastanienbaum (Lucerne) has a vacancy for a PhD student on Turbulence Assessment in Lake Surface

Information on your application The PhD student will need to fulfil eligibility criteria for the PhD program Care and Rehabilitation Sciences of the University of

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The successful candidate will work in the group of Dr.

We look forward to welcoming a team player and enthusiastic PhD candidate to join our Antifreeze research team working on the assessment, evaluation, and creation

As an ideal candidate you will bring: A hands-on approach and the ability to adapt quickly in a dynamic environment.

Ideally, the candidate also has experience in machine learning/deep learning, image processing, and spatial data analysis. Excellent social skills.