The High Performance Computing Architecture and Technologies (HPCAT) Lab directed by Professor Ahmed Louri is seeking a Post-doctoral researcher.
HPCAT investigates novel parallel computer architectures and technologies which can deliver high-reliability, high-performance, and energy-efficient solutions to important application domains and societal needs. Current research topics include but are not limited to: (1) the use of machine learning techniques for designing energy-efficient, reliable and scalable multicore architectures, (2) accelerator-rich reconfigurable heterogeneous architectures, (3) emerging interconnect technologies (photonic, wireless, RF, hybrid) for network-on-chips (NoCs) (4) future parallel computing models and architectures including Convolutional Neural Networks (CNNs), Deep Neural Networks (DNNs), near data computing, and approximate computing.
- Strong understanding of parallel computer architectures and technologies
- Experience in research involving machine learning algorithms, FPGAs, computer architecture and network-on-chips simulation tools
- Experience in publishing research results in leading conferences and journals
- Experience in writing technical reports and proposals
Applicants should have earned a PhD degree in Electrical Engineering, Computer Engineering or Computer Science, and whose research focus is on the mainstream computer architecture and parallel processing. Experience and publications in leading conferences and journals on computer architecture and NOCs is required. The George Washington University is located in the nation’s capital, with close access to federal agencies and government research laboratories. HPCAT is located in the Science and Engineering Hall (SEH). More information about SEH is available at http://seh.gwu.edu.