Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
- Computer Science
- Engineering
- Electrical Engineering
- Business
- Education
- Biology
- Medical Sciences
- Physics
- Earth Sciences
- Design
- Chemistry
- Materials Science
- Statistics
- Environment
- Psychology
- Science
- Social Sciences
- Arts and Literature
- Law
- Sports and Recreation
- Humanities
- Economics
- Mathematics
- Philosophy
- 14 more »
- « less
-
conferences and journals, and gain experience in architecture design, hardware implementation, FPGA prototyping, and AI applications. What are you going to do? As a PhD candidate, you will contribute
-
innovative hardware architectures and design methodologies, and disseminating research outcomes through publications, collaborations, and open-source contributions. Key Responsibilities: Conduct independent
-
opportunity to provide leadership in the delivery and development of undergraduate and postgraduate education in computer architecture, digital systems design, and hardware engineering. You will help
-
complete embedded systems, from sensor and processor selection to PCB design, FPGA/MCU implementation, firmware development, hardware debugging, and deployment of signal-processing and machine
-
electronic systems, defining the hardware architecture, selecting components, and drawing up electronic schematics in accordance with project requirements. Design multilayer PCBs, performing simulations
-
, reliability, accuracy, performance, energy use, and hardware overhead. Design reproducible experiments, document results, and communicate findings through research reports, peer-reviewed publications, and
-
Multiple Tenure-Track Assistant Professor Positions in Microelectronics, Circuits and Systems Design
sequence; Analog IC Design; sensor/measurement laboratory modules; mixed-signal design projects. Digital VLSI and AI Hardware Systems Key research areas: ASIC / FPGA design flows; AI/edge accelerators
-
security. Examples of our research topics include hardware design security, microarchitectural security, and DRAM security to name a few. Job description We are looking for a highly motivated postdoctoral
-
neural network types for efficient hardware implementation Developing an FPGA-optimized design Performing device-aware training using both simulated and measured datasets Validation of the complete
-
sequence; Analog IC Design; sensor/measurement laboratory modules; mixed-signal design projects. Digital VLSI and AI Hardware Systems Key research areas: ASIC / FPGA design flows; AI/edge accelerators