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Must haves for postdocs (all tracks): PhD degree in Materials Science, Mechanical Engineering, Electrical Engineering or related field from a top university Strong experimental background with
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completion) in Physics, Nanoscience, Electrical/Optical Engineering, or related fields, Deep understanding and strong educational track record in condensed matter physics and optics, Familiarity with data
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bottom-up approach to robotics and develop soft materials and devices that would enable unusual form and unconventional functions for broader robotic applications. Job description Track 1: Fiber-based soft
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, multi-objective optimisation (e.g., genetic algorithms), gait analysis/biomechanics. Proven track record in deploying machine learning models into production (preferred) Proficiency in programming in
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between Gramazio Kohler Research (Chair for Architecture and Digital Fabrication) at ETH Zurich and the Chair for Timber Structures (Prof. Dr. Andrea Frangi). Job description The objective of this PhD
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educational track record in condensed matter physics and optics, Familiarity with data analysis procedures and computer tools for automated data acquisition/processing (Python/C++/Labview programming languages
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. We take a bottom-up approach to robotics and develop soft materials and devices that would enable unusual form and unconventional functions for broader robotic applications. Job description Track 1
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cell-fate tracking tracking and studying various stages of the metastatic cascade, we set out to follow tumour cell-niche interactions to reveal how distant sites shape cancer progression-and where we
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-related transport phenomena all require precise knowledge of fluid flow dynamics. Advanced experimental methods such as Particle Image Velocimetry (PIV) and 3D Lagrangian Particle Tracking (LPT) provide
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The successful candidate will have an outstanding academic track record and a strategic vision to develop an ambitious and innovative research program. The ideal profile is that of a researcher able to propose