158 computational-physics-"https:"-"https:"-"https:"-"https:"-"IFM" positions at ETH Zurich
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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
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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
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100%, Zurich, fixed-term The Clinical Genomics team led by Dr. André Kahles at the Biomedical Informatics Lab (BMI Lab), headed by Prof. Gunnar Rätsch, at ETH Zurich, is seeking a highly motivated
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focusing on the physical realization of a next-generation high-speed AFM system tailored for biological research. Job description The Lead Mechatronics Engineer is responsible for the physical realization
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Architecture & Roadmap: Define the technical vision and high-level design for ViViD-AFM V2.0, ensuring a scalable and robust system architecture. IP Strategy & Novelty Design: Drive the design process to ensure
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agreement. We develop computational methods to accelerate materials discovery through defect engineering, with a focus on extreme environments. Application areas include fusion reactors, hydrogen systems, and
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, engineering, physics, or a related field, and with strong interest in the cryosphere. The successful candidate has experience in computational data analysis or numerical modelling. You are eager to work
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of astrophysical and/or space-science data processing. The successful candidate will hold an MSc or greater degree in computer science or engineering, or a PhD in applied mathematics, physics, or related fields
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, mechanical or electrical engineering, geosciences, physics, applied mathematics, computer sciences or related fields, and be at the beginning of their research career. Principal qualifications include strong
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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