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AI

Assistant Professor multiple positions Applications of Artificial Intelligence and Machine Learning AI ML

Northern Arizona University · Flagstaff, AZ

Actively hiring Posted 27 days ago

Role overview

This job was posted by https://www.azjobconnection.gov : For more

information, please see: https://www.azjobconnection.gov/jobs/7241056

r

r**Assistant Professor (multiple positions), Applications of Artificial

Intelligence and Machine Learning (AI/ML)**

r

rNorthern Arizona University

r

r****Special Information****

  • 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.

****About the Department/College****

Northern Arizona University (NAU) invites applications for multiple

full-time, tenure-track assistant professor positions to infuse

expertise in **applications of Artificial Intelligence and Machine

Learning (AI/ML)** across its curriculum with a specific focus on

building capacity within several key areas of recognized research

excellence.

**About the Position**

Individuals recruited as part of this initiative will join a

university-wide faculty community that is committed to providing access

to innovative academic programs, passionate about student success, and

collaboratively leading world-class scholarly programs. A specific goal

of this hiring initiative is to add robust expertise in applications of

AI/ML to specific research areas at NAU that are already vibrant,

productive, and well-recognized both nationally and internationally as

leading research programs.

NAU is particularly interested in applicants with a research focus

Aligned With Any Of The Following Thematic Areas

  • Engineering of AI/ML-**autonomous systems** with applications to

**remote sensing/mapping**

  • AI/ML-enabled approaches to **microbiome science**
  • AI/ML applications in **forestry** and/or **hydrological systems**
  • AI/ML-supported **teaching & learning in STEM Education**

Candidates will be expected to develop a productive research program

that synergizes with existing NAU research initiatives to address timely

and significant topics in the fields listed above. Successful candidates

will have an academic home in an appropriate department/school/college

commensurate with their training and experience. Potential academic

units associate with the research areas listed above include, but are

Not Limited To

  • Department of Mathematics and Statistics
  • Department of Mechanical Engineering
  • Department of Teaching and Learning
  • School of Informatics, Computing, and Cyber Systems
  • School of Earth and Sustainability
  • School of Forestry

Additionally, successful candidates will embrace NAU\'s teacher-scholar

faculty model by contributing to teaching and student mentorship at both

the undergraduate and graduate level, including teaching of both new and

existing course offerings. Ability to incorporate innovative uses of

AI/ML in classroom and learning settings is desirable. NAU\'s goal is 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 as described in [NAU\'s

Elevating Excellence Strategic

Roadmap](https://apptrkr.com/get\_redirect.php?id=6688512&targetURL=https://nau.edu/about/president/strategic-plan/).

NAU\'s mountain campus is located in Flagstaff, nestled in the heart of

northern Arizona\'s majestic mountains and pine forests. Consistently

celebrated as one of the best college towns in the nation, Flagstaff

offers a welcoming community and provides excellent opportunities for

outdoor recreation, with hiking, mountain biking, and skiing available

just minutes away. Flagstaff\'s vibrant culture is rooted in its

thriving arts, music, and restaurant scenes, and the town\'s cultural

institutions honor its history and the heritage of its indigenous

peoples. Flagstaff offers an exceptional setti g for both living and

learning.

**Responsibilities Include**

What you'll work on

  • Teaching at the undergraduate and graduate levels and mentoring

students;

  • Building and maintaining a vibrant and productive scholarly program,

including securing extramural funding; and

  • Contributing to service to the institutional, academic, and

professional communities.

**Minimum Qualifications**

  • A Ph.D. in any discipline represented in our academic colleges,

conferred by August 2026.

**Preferred Qualifications**

Demonstrated expertise in AI/ML methods, development, and applications

In One Or More Of The Following Disciplinary Areas Engineering of AI/ML-**autonomous systems** with applications to

  • remote sensing/mapping;** examples may include edge computing &

real-time sensor fusion for perception, intelligent path planning,

human-machine interfaces, etc.

AI/ML-enabled approaches to **microbiome science** related to precision

medicine, human health or human performance.

AI/ML applications in **forestry** and/or

Tags & focus areas

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