This job was posted by https://www.azjobconnection.gov : For more information, please see: https://www.azjobconnection.gov/jobs/6469316

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rAssistant Professor in Artificial Intelligence / Machine Learning

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rLocation: SICCS

rRegular/Temporary: Regular

rJob ID: 607781

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{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. 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 do toral (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

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