PhD Student (M/F) – Fabrication, characterisation and design of electronic functions based on computation embedded in the material.

Descrizione

PhD Student (M/F) – Fabrication, characterisation and design of electronic functions based on computation embedded in the material. Sintesi in italiano (traduzione automatica): L'organizzazione cerca un Dottorando per un progetto di ricerca che si concentra sulla fabbricazione, caratterizzazione e modellazione di funzioni elettroniche basate su reti di nanofili. La posizione è presso il CROMA a Grenoble, in Francia, e prevede la collaborazione con il TIMA per sviluppare funzioni neuro-ispirate per il calcolo. Il candidato ideale deve possedere una laurea magistrale in fisica dei componenti o in scienza dei materiali, con una solida conoscenza della fisica dei semiconduttori. Le mansioni principali includono lo sviluppo fisico-chimico dei materiali, la caratterizzazione elettrica dei componenti e l'elaborazione dei dati utilizzando Python. È richiesta anche una comprensione di base della matematica statistica e della probabilità. The PhD research will strike a balance between the fabrication, characterisation and modelling of functions achievable using nanowire arrays. The arrays will be fabricated at the LMGP and the electrical characterisations carried out at CROMA. Collaboration with TIMA will enable the development of neuro-inspired functions for computing. The Alps Centre for Radio Frequencies, Optics and Micro-Nanoelectronics (CROMA) is a joint research unit (UMR 5130) under the supervision of the CNRS, Grenoble INP, the University of Grenoble Alpes and the University of Savoie Mont-Blanc. Based at two sites, one in Bourget-du-Lac and the other at Grenoble-Minatec, the unit comprises 60 permanent staff and 60 non-permanent staff, all of whom are heavily involved in research into micro- and nanoelectronics, photonics, microwave and millimetre-wave technology, and opto-microwaves. The position is based at CROMA on the Grenoble site. The thesis project aims to explore a new computing paradigm based on the direct exploitation of the physical dynamics of functional materials, within an 'in-materia computing' approach. Unlike the classical von Neumann computing architecture, which separates computation and memory and results in significant energy losses due to data transfers, this approach proposes to derive information processing functions from the intrinsic behaviour of disordered materials. Nanowire networks (nanonets) represent a particularly promising platform in this context: their non-linearity, hysteresis and memory properties enable the performance of neuromorphic tasks without the need for complex algorithms. Whilst recent demonstrations have confirmed the potential of Ag-based nanonets, this project aims to extend these capabilities to metal oxide nanonets. Required profile The candidate should hold a Master's degree in component physics with a strong interest in component fabrication, or a Master's degree in materials science with a very good knowledge of semiconductor physics. Required Skills Physico-chemical development of materials, electrical characterisation of components, semiconductor device physics, data processing using Python, fundamentals of signal processing, and a basic understanding of statistical mathematics and probability Annuncio in inglese. Fonte: Euraxess (Commissione europea).