Assistant/Associate Professor in Computer Science/Artificial Intelligence

Assistant/Associate Professor in Computer Science/Artificial Intelligence Join to apply for the Assistant/Associate Professor in Computer Science/Artificial Intelligence role at Al Ain University . Job Responsibilities Develop and deliver well-structured, engaging lectures and coursework on AI, Machine Learning, and related subjects to undergraduate and graduate students. Ensure that the classroom environment is conducive to learning, encouraging student interaction and participation. Review and revise courses, programs, and assessments in line with quality assurance and enhancement standards. Develop innovative and effective teaching methods, integrating modern AI tools and frameworks. Provide timely, constructive feedback on student coursework, projects, and examinations. Offer general academic support and guidance to students, addressing their concerns and referring to specialized resources when necessary. Actively engage in faculty and program initiatives, contributing to departmental and university goals, and supporting accreditation processes. Work collaboratively with faculty, staff, and students to ensure an enriching and productive student experience. Perform any additional duties as requested by the Program Director or Dean. General Conditions 4+ years of professional experience in teaching AI-related subjects at the university level. Strong proficiency in programming languages such as Python, R, Java, or C++ and familiarity with AI frameworks like Tensor Flow, Py Torch, Keras, and Scikit-learn. Excellent verbal and written communication skills with the ability to interact effectively with students, colleagues, and the academic community. Demonstrated ability to work collaboratively in a diverse, multicultural academic environment. Research published in reputable journals indexed in the Scopus database. A passion for mentoring students in research and supporting their academic and professional growth. Job Details Seniority level: Mid-Senior level Employment type: Full-time Job function: Education and Training Industries: Higher Education #J-18808-Ljbffr