Assistant Professor of Electrical and Computer Engineering -
Multi-Channel Radar Systems
University of Oklahoma Norman Campus:
Gallogly College of Engineering:
School of Electrical and Computer Engineering
Location
Norman, OK, United States
Open Date
Feb 28, 2024
Description
As part of our strategic plan, The University of Oklahoma (OU)
continues to grow and expand the radar program. Two tenure-track
faculty positions at the rank of assistant professor are
currently available at the School of Electrical and Computer
Engineering (ECE), Gallogly College of Engineering (GCoE).
We welcome applicants who have demonstrated experience and
expertise in radar, with specific areas described below, and
are motivated and committed to being an integral part of the
research and educational mission at OU.
OU has developed an internationally known, interdisciplinary
radar program with state-of-the-art laboratory facilities and
advanced radar test beds, supported by engineering staff.
The Advanced Radar Research Center (ARRC, [
http://arrc.ou.edu)]http://arrc.ou.edu),
which serves as the cornerstone of the radar program, has
developed principal capabilities including the design and
prototyping of radar systems, mobile radar platforms,
multi-function radar, phased array technology, digital signal
and 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
following area.
Position II: Heterogeneous, Real-Time Computing for Multi-Channel Radar Systems
Large digital array radar systems and many airborne radar
systems possess high channel counts (up to tens of thousands
of 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 will 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 candidate's research specialty could include one or
a combination of the following areas:
* Low-SWaP, high-performance embedded computing;
* 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 April 1, 2024,
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.
The letter of interest should 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:
[log in to unmask]
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:
[log in to unmask]
Equal Employment Opportunity Statement
The University of Oklahoma, in compliance with all applicable
federal and state laws and regulations, does not discriminate
on the basis of race, color, national origin, sex, sexual
orientation, genetic information, gender identity, gender
expression, age, religion, disability, political beliefs, or
status as a veteran in any of its policies, practices, or
procedures. This includes, but is not limited to: admissions,
employment, financial aid, housing, services in educational
programs or activities, or health care services that the
University operates or provides.
Diversity Statement
The University of Oklahoma is committed to achieving a diverse,
equitable and inclusive university community by recognizing
each person's unique contributions, background, and
perspectives. The University of Oklahoma strives to cultivate
a sense of belonging and emotional support for all,
recognizing that fostering an inclusive environment for all
is vital in the pursuit of academic and inclusive excellence
in all aspects of our institutional mission.
Mission of the University of Oklahoma
The Mission of the University of Oklahoma is to provide
the best possible educational experience for our students
through excellence in teaching, research and creative
activity, and service to the state and society.
Application Process
This institution is using Interfolio's Faculty Search to
conduct this search. Applicants to this position receive
a free Dossier account and can send all application materials,
including confidential letters of recommendation, free of
charge.
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