" " Northern Arizona University Assistant Professor in Artificial Intelligence / Machine Learning in Flagstaff, AZ | The Olympian

Assistant Professor in Artificial Intelligence / Machine Learning

Northern Arizona University   Flagstaff, AZ   Full-time     Information Services / Technology (IT)
Posted on June 19, 2024
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Assistant Professor in Artificial Intelligence / Machine Learning

 

Location: SICCS

 

Regular/Temporary: Regular

 

Job ID: 607781

 

Full/Part Time: Full-Time

 

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.

 

https://nau.edu/president/strategic-plan/

 

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 https://in.nau.edu/center-for-university-access-and-inclusion/.

 

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. The position will begin the start of the Fall semester 2024. 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, Artificial Intelligence, Machine Learning or closely related area by August 18, 2024.

 

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 experience.

 

This is a Faculty (FAC) position. NAU offers an excellent benefit package including generous health, dental and vision insurance; participation in the Arizona State Retirement System (ASRS) or the Optional Retirement Program (ORP); sick leave accruals and 10 holidays per year; and tuition reduction for employees and qualified family members. More information on benefits at NAU is available at the NAU https://in.nau.edu/human-resources/benefits/. Faculty are hired on a contract basis, renewable according to terms of the https://nau.edu/university-policy-library/conditions-of-faculty-service/. Employees offered a position will be eligible for state health plans (including NAU's BCBS Plan). Employees will have 31 days from date of hire to enroll in benefits, and their benefits will then be effective the first day of the pay period following their completed enrollment. If a new employee chooses the Arizona State Retirement System (ASRS) retirement option, participation in the ASRS Plan (and the long-term disability coverage that accompanies it) will begin on the first of the pay period following 183 days of employment. New employees who choose to participate in the Optional Retirement Plan (ORP; an alternative to the ASRS plan) will begin to participate on the first day of the pay period following election. The long-term disability plan that accompanies the ORP will begin on the first day of the pay period following election. More information about NAU benefits is available at the NAU https://in.nau.edu/human-resources/benefits/.

 

Pre-Employment Check

 

Northern Arizona University requires satisfactory results for the following: a criminal background investigation, an employment history verification and a degree verification (in some cases) prior to employment. You may also be required to complete a fingerprint background check. Additionally, as an employer in the state of Arizona, NAU is required to participate in the federal E-Verify program that assists employers with verifying new employees' right to work in the United States. Finally, each year Northern Arizona University releases an https://in.nau.edu/police-department/annual-security-and-fire-safety-reports/. The report is a result of a federal law known as the Clery Act. The report includes Clery reportable crime statistics for the three most recent completed calendar years and discloses procedures, practices and programs NAU uses to keep students and employees safe including how to report crimes or other emergencies occurring on campus. In addition, the https://in.nau.edu/police-department/annual-security-and-fire-safety-reports/ is combined with the Annual Security Report for the NAU Flagstaff Mountain Campus as this campus has on-campus student housing. This report discloses fire safety policies and procedures related to on-campus student housing and statistics for fires that occurred in those facilities. If you would like a free paper copy of the report, please contact the NAUPD Records Department at (928) 523-8884 or by visiting the department at 525 E. Pine Knoll Drive in Flagstaff.

 

FLSA Status

 

This position is exempt from the overtime provisions of the Fair Labor Standards Act (FLSA) and therefore will not earn overtime or compensatory time for additional time worked.

 

Submit Your Application

 

Vacancy open until filled. Applications received before April 8, 2024 will receive full consideration.

 

To apply for this position, please click on the "Apply" button at the end of the job description (if viewing this position through the NAU HR website). Otherwise, to view the original post and to apply, proceed to http://nau.jobs, follow the 'Current Openings' link, locate vacancy 607781, and then "Apply" at the bottom of the page.

 

Application must include (saved as PDF and/or Word documents):

 

  • a cover letter highlighting your particular qualifications for this position;
  • a curriculum vitae; and
  • names and contact information for three references.

Please do not include any other documents. Additional documentation will not be reviewed.

 

If you need assistance completing your application there are instructions available on the https://in.nau.edu/human-resources/employment-application-instructions/ or in person in the Human Resources Department located in Building 91 on the NAU Campus - on the corner of Beaver and DuPont Streets.

 

If you are an individual with a disability and need a reasonable accommodation to participate in the hiring process, please contact the Disability Resources Office at 928-523-8773, http://DR@nau.edu, or PO Box 5633, Flagstaff AZ 86011.

 

Equal Employment Opportunity

 

Northern Arizona University is a committed Equal Opportunity/Affirmative Action Institution. Women, minorities, veterans and individuals with disabilities are encouraged to apply. NAU is responsive to the needs of dual career couples.

 

https://in.nau.edu/Human-Resources/Posters-Required-by-Law/

 

NAU is an Employer of National Service. AmeriCorps, Peace Corps, and other National Service alumni are encouraged to apply.

 

To apply, visit https://apptrkr.com/5338731

 

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