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