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意大利米兰理工大学Daniele Ielmini课题组招Research Fellow/Postdoctor
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Daniele Ielmini??????????洢?????????????????????????????????PNAS/Nat. Electron./Nat. Commun./Sci. Adv./Adv. Mater./IEDM?????????????????????????????????????IEEE Fellow?????????????>300???????????>12000. ????????????????????????????????????????????????????????????ο???????????????????https://www.pnas.org/content/early/2019/02/15/1815682116????????????????????????????????????????У??????????????????????????????У???????????????????????????????????????????г???????????Daniele Ielmini??????????????λ?????????????????????????? Learning from big data is the next big thing for a wide range of fields, including communications, industry, business, and healthcare. The von Neumann computer architecture is however not efficient for these tasks, due to the large energy and time needed for data movement between the memory and the CPU/GPU. In the frame of an ERC project, we are developing in-memory computing accelerators for machine learning and data analytics, to process information within analog memory circuits. Our technology enables one-shot learning with a 10,000x reduction of energy and time thanks to non-iterative computing in cross-point arrays of resistive memories (memristors). This project aims at demonstrating this performance in hardware by (i) designing integrated circuits with foundry design kit including resistive memory, (ii) testing the hardware circuits fabricated by the industrial partner foundry. The researcher should interact with a team of about 15 PhDs/postdocs working on in-memory computing using resistive switching memory (RRAM) and phase change memory (PCM). ??????????? Your tasks: To design integrated in-memory accelerator circuits To design the testing board and test the circuit prototypes for practical data problems To actively interact with the team members for device and theory development To become actively involved in the dissemination/communication activities within the project To mentor junior staff Education: PhD (or Master if adequate) in electrical engineering Essential Knowledge and Professional Experience: Proficiency in modern integrated circuit design using Cadence and Mentor Graphics tools Fluent English, both spoken and written Salary: 33k? yearly gross salary (2k? monthly net rate) ??????????????????????????????????Daniele Ielmini????????????????????????????????????ú???academic record????????棬????????????п????????????????????????????????????????? Daniele Ielmini?????????daniele.ielmini@polimi.it?????????zhong.sun@polimi.it ?????????????????????/?????????????????????????????????????????????? |
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