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fair consideration. Challenge. Change. Impact! Faculty Electrical Engineering, Mathematics and Computer Science The Faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS) brings
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related discipline. This project would suit a candidate with a background in mechanical, control or aerospace engineering, physics, mathematics, or other relevant engineering/science degree. The ideal
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honours degree in physics or a closely related discipline (e.g. applied mathematics, engineering physics, geophysics, astronomy/astrophysics), and have a strong academic record and clear motivation
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/achieve a minimum of a merit at master’s degree level (or international equivalent) in a science, mathematics or engineering discipline. Applicants without a master's qualification may be considered
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a particular emphasis on embedded systems. About the organisation The faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS) uses mathematics, electronics and computer technology
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mathematics Proficient in programming (Python and C++) Fluent in written and spoken English; knowledge of German is an asset Strong analytical and independent working style Excellent teamwork and communication
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a strong statistical, computational and mathematical background. The program features two curricula: Statistics and Computer Science. Candidates may apply either to a single curriculum or to both
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12 Dec 2025 Job Information Organisation/Company ETH Zürich Research Field Engineering » Electrical engineering Engineering » Mechanical engineering Engineering » Other Physics » Acoustics Physics » Applied physics Physics » Electromagnetism Physics » Other Researcher Profile First Stage...
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are collaborating in ScaDS.AI on advancing a broad spectrum of AI. The spectrum of available topics ranges from core areas of AI Theory, Hardware, Mathematic foundations, AI applications to societal aspects of AI
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Computer Science, Mathematics, or related areas. • Strong background in at least one of the following: formal methods, SMT solving, abstract interpretation, or model checking. • Experience with verification tools