This job was posted by https://www.azjobconnection.gov : For more
information, please see: https://www.azjobconnection.gov/jobs/6770145
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r**Assistant Professor in Artificial Intelligence / Machine Learning**
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r**Location:** SICCS
r**Regular/Temporary:** Regular
r**Job ID:** 607781
r**Full/Part Time:** Full-Time
r
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](https://apptrkr.com/get_redirect.php?id=5783865&targetURL=https://in.nau.edu/center-for-university-access-and-inclusion/){target="_blank"}.
About The Department/College
School of Informatics, Computing, and Cyber Systems at Northern Arizona
University brings together interdisciplinary expertise in cybersecurity,
computer 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 Artificial Intelligence /
Machine Learning position. We are especially interested in candidates
with research foci in core AI areas like AI/ML algorithms and/or theory,
but candidates with a strong computer science background and research in
applied AI are also encouraged to apply. This position is a 9 month
tenure track position.
Responsibilities Include
- Successful candidates are expected to carry out groundbreaking
research in the areas of Artificial Intelligence or Machine
Learning, as well as teach both the undergraduate and graduate
courses in SICCS\'s Computer Science and Informatics 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
- An earned BS in Computer Science or closely related area.
- An earned doctoral (Ph.D. or Sc.D.) degree in Computer Science,
Artif cial Intelligence, Machine Learning or closely related area by
August 18, 2025.
Preferred Qualifications
- Demonstrated expertise in one or more of the following areas:
- Traditional Artificial Intelligence or Machine Learning
algorithms
- Hardware-implemented AI/ML, Edge AI, AI for Internet-of-Things
applications
- Reinforcement Learning algorithms
- Established research in core AI theory and development of novel
algorithms or techniques.
- Successful track record making fundamental contributions to the
field of AI as evidenced by publications in relevant conferences and
journals;
- Demonstrated interest in engaging with and leading collaborative
multi- and inter-disciplinary teams;
- University-level teaching and mentorship experience, particularly at
the graduate level and including graduate students and postdoctoral
scholars;
- Excellent communication skills;
- Experience effectively working with people from a variety of
culturally diverse backgrounds and underrepresented communities; and
- Demonstrated willingness and ability to teach courses in-person and
online in a university setting.
Compensation & Benefits
Commensurate with candidate\'s qualifications and related experien