NTU 招博后职位 3D芯片架构建模 射频电路建模

SingularityKChenUID: 3993277

教授：Mohamed M. Sabry Aly (Asst Prof)
教授背景：EPFL硕士、博士，斯坦福博后
邮箱：msabry@ntu.edu.sg

组内情况：两博后，两博士在读，两研究硕士。目前就我一个中国人，日常沟通用英语。
我的感觉：进组内有4个月了，老板脾气是真好，有时还请喝咖啡；英语发音非常标准，没有沟通障碍。而且每季度都能流片，对于体系结构设计芯片的人来说，简直太棒了。希望我能赶上下一次流片。


NTU老板招博后～两个方向
1.Modeling and simulation of emerging 3D computing architectures
2.Simulation of wavefront computing systems

1.Modeling and simulation of emerging 3D computing architectures:
  This is part of a flagship AME programmatic project that aims to develop a new class of hardware accelerators for artificial intelligence, leveraging all knobs across the entire development stack (algorithm, architecture, circuit, and devices. The research fellow will be responsible for:
      - Modeling computing systems that is enabled by 3D integration and new devices, at the architecture level. Candidate shold be capable of using architecture simulators such as Zsim or Gem5
      - Analyzing and performing design space exploration for new classes of applications, not just AI
     - perform architecture optimizations
     - Thermal analysis and designs, using state of the art thermal simulators
     - Investigate new computation paradigms for AI with these new devices

Candidates should hold a PhD degree and demonstrate ability to perform research through a number of high-quality publications. Expected date to join is Nov 2020 (project is till May 2023).


2.Simulation of wavefront computing systems.
The RF will work on on a project to develop a simulation and exploration framework to investigate new means of computing fabric enabled by ultrasonic waves.Roles of the RF will be:
    • Development of compact model of the ultrasonic wave fabric and integrate it to an architectural simulation framework.
    • Development of methodologies to estimate power and performance of this new compute fabric.
    • Investigation of the memory connectivity to this new compute fabric.
    • Supervise graduate student in modeling and in prototype demonstration.

Candidates should hold a PhD degree and demonstrate ability to perform research through a number of high-quality publications. Expected date to join is Nov 2020 (project is till Jan 2023).