Doctoral Position in Neuro-Embodied Basis of Physics Learning

     
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Published
WorkplaceZurich, Zurich region, Switzerland
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Position

Description

ETH Zurich is one of the world’s leading universities specialising in science and technology. It is renowned for its commitment to education, its cutting-edge fundamental research, and its efforts to put new knowledge and innovations into practice. The Institute for Learning Sciences and Higher Education chaired by Prof. Manu Kapur is inviting applications for a doctoral position investigating the neural and embodied basis of physics learning.

The Future Learning Initiative at ETH Zurich is recruiting a motivated student for a doctoral position at the intersection of embodied cognition, physics education, and neuroscience. This interdisciplinary project will investigate: (1) whether the intuitive understanding of physics mediated by motor actions can be used to gain a better understanding of the formal principles of physics and mechanics; and (2) which embodied, cognitive, and neural mechanisms underpin this process. Specifically, the project will utilize neuroimaging techniques to investigate the interaction between motor skill development and conceptual understanding, thus exploring a new route towards acquiring in-depth understanding of physics. As a doctoral student, you will work and learn alongside an interdisciplinary team of experts in neuroscience, statistics, embodied cognition, and the learning sciences.

An ideal candidate should have a strong background in cognitive neuroscience, movement science or psychology as well as an interest in the "Bayesian Brain" and Bayesian Modelling. The candidate should also have experience in conducting and analyzing behavioral/psychophysical experiments in humans. Familiarity with imaging methods (fMRI or EEG) is desirable, as is familiarity with principles of embodied cognition. Familiarity with educational research is helpful but not required. The doctoral training for this position will include training in experimental design and the principles of the learning sciences.

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