Instructional Faculty CS and Engr AI at KAUST

Permanent @King Abdullah University of Science and Technology KAUST in Education Training
  • Thuwal, Jeddah Saudi Arabia, N/A View on Map
  • Post Date : December 8, 2023
  • Apply Before : June 8, 2024
  • Salary: SR55,000.00 - SR100,000.00 / Monthly
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Job Detail

  • Job ID 939
  • Offered Salary 1000
  • Career Level Others
  • Experience 2 Years
  • Gender Male
  • Industry Development
  • Qualifications Master’s Degree

Job Description

Applications are invited for Instructional Faculty CS and Engr AI at KAUST in the area of Computer Science and Engineering. Particular areas of interest are machine learning, artificial intelligence, computer architecture, embedded systems, and their applications.

Instructional Faculty CS and Engr AI at KAUST must have a Ph.D. in Computer Engineering, Computer Science, Applied Mathematics,  Artificial Intelligence (AI) or a related field; emphasis on AI is preferred. Ideal candidates will have a track record of excellence in teaching and student mentorship at the graduate level.

Instructional faculty will teach multiple courses per year, possibly with multiple offerings of the same course per year. In addition to teaching responsibilities, Instructional Faculty may have professional and administrative responsibilities such as mentoring students, designing courses, proctoring placement and admissions tests or qualifying exams, sitting on divisional committees, or any combination of the foregoing. Proficiency in online teaching, online course preparation, and database integration is a plus.

Typical Teaching Responsibilities:

Develop, design, and deliver comprehensive courses aligned with university curricula and certification requirements.

Develop, design, and deliver comprehensive micro-credential courses aligned with industry standards and certification requirements.

Create engaging and interactive learning materials, including videos, presentations, quizzes, and hands-on activities.

Deliver high-quality instruction through in-person and online platforms catering to diverse learning needs.

Foster a supportive and collaborative learning environment, encouraging student engagement and participation.

Provide timely feedback and assessment to students to monitor their progress and offer constructive guidance.

Stay up-to-date with industry trends, best practices, and certification updates to ensure course content remains relevant and current.

Collaborate with colleagues and industry experts to enhance course content and teaching methodologies.

Participate in faculty development programs and continuous improvement initiatives.

About KAUST

KAUST is an international, graduate research university dedicated to advancing science and technology through interdisciplinary research, education, and innovation. Located in Saudi Arabia, on the eastern shores of the Red Sea, KAUST offers superb research facilities, generous baseline research funding, and internationally competitive salaries, together with unmatched living conditions for individuals and families

KAUST’s CEMSE division stands out for its vibrant research programs and collaborative atmosphere, backed by KAUST’s global research network and advanced facilities like Nanofabrication, Imaging and Characterization, and Supercomputing Core Facilities.

Qualifications

Required Qualifications:

  • Ph.D. in Computer Engineering, Computer Science, Applied Mathematics, Artificial Intelligence (AI) or related field
  • Strong expertise and experience in AI.
  • Prior experience in curriculum development, instructional design, and teaching.
  • Familiarity with online learning management systems and educational technology tools.
  • Excellent communication, presentation, and interpersonal skills.
  • Passion for student success and commitment to creating an inclusive learning environment.

Preferred Qualifications:

  • Industry certifications related to AI.
  • Experience teaching micro-credential courses or certification preparation programs.
  • Demonstrated success in student outcomes and certification pass rates.

Application Procedure

To apply for the Instructional Faculty CS and Engr AI at KAUST. Click on the “APPLY NOW” button. Sign up page for interfolio online application system will open. Follow the instructions to finalize the registration. Submit required documents as per the guidelines.

Required skills

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