Assistant Professor
As part of strategic plan, the University of Oklahoma (OU) continues growing and expanding the radar program. Two tenure-track faculty positions at the rank of assistant professor are available this time at the School of Electrical and Computer Engineering (ECE, https://www.ou.edu/coe/ece), Gallogly College of Engineering (GCoE). We welcome applicants who have demonstrated experience and expertise in heterogeneous, real-time computing for multi-channel radar systems and are motived and committed to be an integral part of research and educational mission at OU.
OU has developed an internationally known, interdisciplinary radar program with state-of-the-art laboratory facilities, advanced radar test beds, engineering support staff. The Advanced Radar Research Center (ARRC, http://arrc.ou.edu), which serves as the cornerstone of the radar program, has developed principal capabilities including the design & prototyping of radar systems, mobile radar platforms, multi-function radar, phased array technology, digital signal & array processing, and reconfigurable components and architectures. Since its inception, the ARRC has emerged as a world leader in ground-based weather radars and, over the last decade, has made incredible progress in leading major Department of Defense (DoD) research efforts, and, more recently, a burgeoning airborne radar program. Building on this foundation of excellence, OU seeks individuals in the area of airborne and distributed radar systems.
Large digital array radar systems and many airborne radar systems possess high channel counts (up to tens of thousands channels) - that is, data are converted from analog to digital on many simultaneous receiving channels corresponding to individual antenna elements or antenna sub-arrays. These massive data rates must be handled by the radar system using a combination of embedded on-array computing, fast and low-latency data networking, data buffering, and heterogeneous sets of digital processors (FPGAs, CPUs, GPUs, and potentially ASICs). Moreover, airborne radar places limitations on the SWaP of the high-performance embedded computing (HPEC) systems that must handle and process these large data volumes in real time. The qualified candidate could complement multi-channel, high-data-rate radar research already established in existing and upcoming programs in the ARRC and address the intense demand for experts in embedded and high-performance computing for sensing and other applications.
The University of Oklahoma:OU is a Carnegie-R1 comprehensive public research university known for excellence in teaching, research, and community engagement, serving the educational, cultural, economic, and healthcare needs of the state, region, and nation from three campuses: Norman, Health Sciences Center in Oklahoma City and the Schusterman Center in Tulsa. OU enrolls over 30,000 students and has more than 2700 full-time faculty members in 21 colleges.
Norman is a vibrant university town of around 113,000 inhabitants with a growing entertainment and art scene. With outstanding schools, amenities, and a low cost of living, Norman is a perennial contender on "best place to live" rankings. Visithttp://www.ou.edu/flipbookandhttp://soonerway.ou.edufor more information. Within an easy commute, Oklahoma City features a dynamic economy and outstanding cultural venues adding to the region's growing appeal.
Application packages should be submitted via https://apply.interfolio.com/141586
The candidate's research specialty could include one or a combination of the following areas:
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Low-SWaP, high-performance embedded computing;
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High-speed, low-latency data interfaces and networking;
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Real-time computing on heterogeneous processor types;
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Optimized GPU computing and exploitation of GPU architectures for HPEC (tensors, multi-GPU instantiations, advances in GPU for AI/ML);
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Compute-focused optimization of System-on-Chip (SoC) technologies.
