Radar Signal Processing Jobs in Oklahoma (NOW HIRING)

Description
As part of its strategic plan, The University of Oklahoma (OU) continues to grow its Gallogly College of Engineering (GCoE). As such, one tenure-track faculty position at the rank of assistant professor is currently available within the University of Oklahoma's (OU) School of Electrical and Computer Engineering (ECE). ECE welcomes applicants who have demonstrated experience and expertise in high-performance computing, with specific areas described below, and who are committed to being an integral part of the research and educational mission at OU.
OU is continuing to expand its internationally known radar program in collaboration with its School of ECE. The Advanced Radar Research Center (ARRC, http://arrc.ou.edu), which serves as the cornerstone of the radar program, is a 125+ person research center on campus that has developed advanced radar capabilities and all-digital phased arrays. Modern all-digital communication systems, multi-function radar, AI/ML algorithms rely on high performance digital signal processing and real-time computing to provide high-fidelity results in an actionable timeframe. The ARRC intends to grow these capabilities in high-performance computing.
Position: High-Performance Computing
A High-Performance Computing (HPC) expert for developing solutions for digital signal processing applications is encouraged to apply. A successful candidate would develop a research and teaching agenda around:

• Co-Designing algorithms and hardware for processing massive amounts of high-dimensional streaming tensor data for latency sensitive and real-time applications.
• Low-SWaP, high-performance embedded computing (HPEC)
• High-speed, low-latency data interfaces and networking
• Real-time computing on heterogeneous processor types
• Optimized GPU computing and exploitation of GPU architectures for HPEC (tensors, multi-GPU instantiations, advances in GPU for AI/ML)
• Compute-focused optimization of System-on-Chip (SoC) technologies.

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 2,700 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 in "best place to live" rankings. Visit http://www.ou.edu/flipbook and http://soonerway.ou.edu for more information. Within an easy commute, Oklahoma City features a dynamic economy and outstanding cultural venues adding to the region's growing appeal.
Qualifications
The position requires an earned doctorate in electrical and/or computer engineering, or a closely related discipline at the time of initial appointment. Serious consideration will be given to exceptional candidates who also possess a record of professional/industrial achievement sufficient for an untenured position at the rank of Assistant Professor. The successful candidate will be expected to: (a) contribute to research efforts in heterogeneous, real-time computing for multi-channel radar systems (b) teach at both the undergraduate and graduate levels.
Application Instructions
APPLICATION INSTRUCTIONS
Confidential review of applications will begin on March 1, 2025, and will continue until the position is filled. Candidates are invited to submit:
1) a letter of interest,
2) a detailed curriculum vitae, and
3) contact information for four references who will be contacted only upon approval from the applicant.
https://apply.interfolio.com/170589
The letter of interest may contain a research and teaching statement summarizing the applicant's prior contributions to research and their goals for developing a research program at OU, their past instructional and mentorship experiences, and plans/goals for teaching at OU (including existing and proposed courses) and advising a varied cohort of undergraduate and graduate students.
Inquiries about the position can be addressed to the search committee chair and co-chair:
Prof. Tian-You Yu (Chair), School of Electrical and Computer Engineering, University of Oklahoma, 110 W. Boyd St., Room 150, Norman, OK 73019-1102; Email: tyu@ou.edu.
Prof. Mark Yeary (Co-Chair), School of Electrical and Computer Engineering, University of Oklahoma, 110 W. Boyd St., Room 150, Norman, OK 73019-1102 Email: yeary@ou.edu.