Assistant Professor, Computer Engineering in Flagstaff, Arizona

This job was posted by https://www.azjobconnection.gov : For more
information, please see: https://www.azjobconnection.gov/jobs/6770143

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rAssistant Professor, Computer Engineering

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rLocation: SICCS

rRegular/Temporary: Regular

rJob ID: 607684

rFull/Part Time: Full-Time

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r Workplace Culture

NAU aims to be the nation’s preeminent engine of opportunity, vehicle
of economic mobility, and driver of social impact by delivering
equitable postsecondary value in Arizona and beyond.

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About NAU

Northern Arizona University serves almost 30,000 students. We are a
vibrant community, with 21,000 students in Flagstaff-the home of our
largest campus-and the remainder online or at our 20+ statewide
locations. Our institution has carefully integrated on-campus education
with distance learning, forming seamless avenues for students to earn
degrees.

Committed to an inclusive university environment, NAU has all the
benefits of a large institution with a personal touch. We carefully
balance teaching, scholarship, and service for faculty members.
Supporting our core value of student-centrism, NAU’s faculty members
promote learning and help students reach academic milestones.

Flagstaff is an outdoorsy mountain town with four seasons and a thriving
cultural scene. Located at 7,000 feet, Flagstaff houses 70,000 people
and sits at the base of the sacred San Francisco Peaks.

For more about inclusive excellence at NAU, visit the Center for
Inclusive Excellence and
Access
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About the Department/College

School of Informatics, Computing, and Cyber Systems at Northern Arizona
University brings together interdisciplinary expertise in cybersecurity
engineering, computer science, electrical engineering, eco/environmental
informatics, astro informatics, and bio/health informatics. We offer a
variety of undergraduate and graduate degrees on these topics, offered
by roughly 60 faculty in the school, with roughly 1,200 undergraduate
and 500 graduate students. Our core mission is to integrate
interdisciplinary developments in scientific and engineering knowledge
around computation, data, and systems with traditional disciplines to
drive breakthroughs that address key 21st-century challenges. Our
faculty are shaping the School’s ground-breaking research programs and
the development of its innovative academic programs.

About the Position

NAU School of Informatics, Computing, and Cyber Systems (SICCS) is
seeking to fill an Assistant Professor in Computer Engineering position.
Exceptional candidates from all relevant areas will be considered, but
specific topics of research interest include digital systems design and
verification, hardware security, hardware-implemented AI/ML, embedded
system design, and embedded metrology.

Responsibilities Include:

  • Successful candidates are expected to carry out groundbreaking
    research in the areas of Computer Engineering, Digital Systems
    Design, Hardware Security, Embedded Systems Design or Embedded
    Metrology.

  • Teach both the undergraduate and graduate courses in SICCS’s
    Electrical Engineering, Computer Engineering, or Cyber Security
    programs.

This position is an on-site position which requires the incumbent to
complete their work primarily at an NAU site, campus, or facility with
or without accommodation. Opportunities for remote work are rare.

Minimum Qualifications

Minimum qualifications for this position include an earned doctoral
(Ph.D. or Sc.D.) degree in Computer Science, Electrica Engineering,
Computer Engineering, Cybersecurity or closely related area by August
18, 2025.

Preferred Qualifications

  • Demonstrated expertise in one or more of the following areas:
    • Digital Systems Design and Verification: Systems-on-Chip design,
      RTL design and verification, FPGA design and implementation,
      ASIC design.
    • Hardware Security: Hardware design for cybersecurity,
      post-quantum cryptography, and homomorphic encryption.
    • AI/ML Design and Applications: Hardware-implemented AI/ML,
      Neuromorphic circuits and systems, Edge AI, AI for
      Internet-of-Things’ Applications.
    • Embedded system design, embedded metrology.
  • Strong record of scholarly productivity and promise for future
    excellence, as evidenced by scholarly publications and research
    projects
  • Demonstrated interest in engaging with and leading collaborative
    multi- and inter-disciplinary teams;
  • University-level teaching and mentorship experience
  • Excellent communication skills
  • Experience effectively working with people from a variety of
    culturally diverse backgrounds

Compensation & Benefits

Commensurate with candidate’s qualifications and related experience.

This is a Faculty (FAC) posi







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