Graduate Research Assistant
Company: University of Oklahoma
Posted on: November 20, 2022
The Neuromorphic Intelligent Computing Systems (NICS) group at
-The University of Oklahoma -is located in the -School of
Electrical and Computer Engineering. The team is directed by Prof.
-Yaser Banadaki, and works closely with three research centers at
OU: Center for -Quantum Research and Technology (CQRT), -Data
Institute for Societal Challenges (DISC), and new OU's Center for
Optimal Materials for Emerging Technology.
The mission of the NICS is described by the US
Nanotechnology-Inspired Grand Challenge for Future Computing:
"Create a new type of computer that can proactively interpret and
learn from data, solve unfamiliar problems using what it has
learned, and operate with the energy efficiency of the human
brain." The NICS aims -to overcome the inherent challenges of
current computing systems (memory and power walls) by inspiring the
electrical activities of neurons and synapses and neural networks
in the brain. Combining new technology advances in nanomaterials,
new devices, and circuits, and computer systems and architectures,
our goal is to design energy-efficient and high-speed
computing-in-memory (CIM) circuits.
NICS has broad interests in the areas of artificial intelligence
and neuromorphic computing across the full stack of materials,
devices, circuits, systems, algorithms, and applications.
- Devote significant and productive time toward degree completion
including research publications, coursework, and degree exams.
- Stay abreast of requirements and research findings for degree
completion through active and regular discussions with her/his
- Take ownership of academic progress, and research endeavors and
duties in a conscientious and timely manner.
QualificationsSince NICS spans multiple disciplines, no incoming
student is expected to have expertise in every area. The lab
fosters a highly stimulating student-centric research
1. - -Experience in modeling and simulation of promising materials
for electronic applications (e.g. new 2D materials);2. -
-Experience in modeling the electronic devices (transistors,
memristors, sensors, memories) to be used for circuit design (e.g.
Developed compact circuit model of low-power transistors or
memristors for circuit simulators like HSPICE);3. - -Experience in
designing low-power integrated circuits and hardware (e.g. VLSI or
VHDL design).4. - -Experience in coding (e.g., Python, C++,
Matlab/Mathematica) and artificial neural network models for
solving real-world and domain-specific problems.5. Experience in
hardware-software co-design (Hardware-in-the-loop) algorithms and
training methods for neuromorphic ICs. -If you are a motivated and
hard-working student, please send a single PDF containing your CV,
SOP, and transcripts to -firstname.lastname@example.org -(Email subject: Applicant's
Name - Starting Semester). Please don't hesitate to discuss your
qualifications, ideas, and visions with me. I am always open to
hearing from motivated students.
Keywords: University of Oklahoma, Norman , Graduate Research Assistant, Other , Norman, Oklahoma
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