Theoretical study of “trainable materials” / Hexner / Technion (Israël)
Theoretical and numerical studies of problems that are on the interface of amorphous solids, statistical mechanics, and learning.
*Project description: *
The aim of this project is to develop and study a class of materials whose function is the result of training, rather than design and fabrication. The idea in training is to employ analogies between (machine) learning theory and plasticity in disordered materials to achieve new functions. That is, by applying various external fields a material evolves autonomously to acquire new functions. This ambitious program aims at functions that are highly non-trivial, and usually not associated with materials, including: signaling, sensing, computing, and classification.
*Qualifications:* MSc/PhD in physics, mechanical engineering, or related field. Ideally, a background in amorphous solids, statistical mechanics, or learning theory.
Candidates are requested to send a CV, a brief letter of motivation, and two letters of reference to Daniel Hexner : danielhe (arobase) me.technion.ac.il
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