Associate/Full Professor Artificial Intelligence American University of Ras Al Khaimah

Full time @American University of Ras Al Khaimah in Education
  • Ras Al Khaimah, UAE View on Map
  • Post Date : February 15, 2024
  • Apply Before : August 16, 2025
  • Salary: د.إ25,000.0 - د.إ40,000.0 / Monthly
  • 0 Application(s)
  • View(s) 12
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Job Detail

  • Job ID 7964
  • Career Level  Intermediate
  • Experience  2 Years
  • Gender  Male Female 

Job Description

American University of Ras Al Khaimah (AURAK), Department of Computer Science and Engineering, invites applications for a full time Associate/Full Professor Artificial Intelligence position beginning Fall 2024 (mid August). Candidates for this position must hold a Ph.D. in Artificial Intelligence or a related computing major. The successful candidate should have the credentials to teach the following undergraduate courses: Advanced Programming, Machine Learning, Deep learning, Big Data, and Data Analytics.

Duties of Associate/Full Professor Artificial Intelligence

  • Teaching undergraduate courses.
  • Establishing and/or continuing development of a nationally or internationally recognized research program.
  • Obtaining sponsored funding in support of research program.
  • Leading a research center.
  • Participating in department, school, and university committees.
  • Advising and mentoring students.
  • Participating in outreach activities, such as continuing education workshops.

Job Requirements of Associate/Full Professor Artificial Intelligence

  • Doctoral degree in Artificial Intelligence or a related computing major from an accredited institution of higher education.
  • University teaching experience, with a commitment to excellence in teaching, including the use of high impact educational practices.
  • Interest and experience in working effectively with a diverse student population.
  • Experience with ABET accreditation requirements.

Skills & Knowledge Desired

  • Effective oral and written English communication skills.
  • Excellence in scholarship.
  • Ability and willingness to work collaboratively with faculty from a variety of disciplines.

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