Clearance: Must be eligible to obtain and maintain a high level security clearance.
We are a long-time pioneer of research investigating Field Programmable Gate Arrays.
Spanning the days of homogeneous logic devices to today’s billion transistor System on Chip devices, we have led the way from being the first to implement application level partial runtime reconfiguration, investigating 3D FPGA architectures, developing Autonomous System on Chip architectures, releasing open source CAD tools which target real physical devices, IP to address software / hardware co-design complexity and continues today with research ranging from developing programming models for next generation industry devices to conducting experiments on the International Space Station.
Today, we are addressing our nation’s challenges in big data, hardware cybersecurity, trusted systems, cognitive radio and more.
We are looking for highly talented, motivated researchers to lead and impact state of the art research and development in the areas of Machine Learning (ML) and Reconfigurable Computing.
This position will lead research in algorithm development for custom ML tools which target FPGA and ASIC front end design.
These tools solve challenging problems in algorithm development of Machine Learning architectures targeting FPGA and ASIC platforms, including embedded and cloud FPGA-based systems.
The position will also investigate hardware security, high level abstraction for hardware design, and machine learning acceleration for critical systems.
Realize effectiveness of solutions on physical FPGAs and custom ASIC fabrication.
Lead research, propose major innovations, collaborate with peers within the group and across ISI, publish results in top tier conferences, and contribute to or lead proposals.
Minimum Education: Master’s degree, Combined experience/education as substitute for minimum education
Minimum Experience: 3 years Minimum Field of Expertise: Knowledge of research processes and computer science.
309 Dundee Road Barrington, IL, 60010Contact