Assistant Professor in Artificial Intelligence

Muscat University

S/he will be responsible for ensuring that curriculum management and enhancement activities comply with the standards set by the Omani accreditation authorities, such as the Oman Academic Accreditation Authority (OAAA). In addition to teaching, the post-holder will contribute to supervising UG final-year projects, PG dissertations, AI and machine learning competitions, and research-related activities.

Key Responsibilities

• Deliver high-quality teaching experience for the undergraduate and graduate Transport and Logistics Management programs, with a focus on AI, machine learning, and data-driven tools.
• Construct, plan, and assess student assignments.
• Liaise with the Faculty Dean on all student matters, including timetabling, academic, and technical support.
• Undertake the role of Academic Advisor/Personal Tutor.
• Undertake research and scholarly activity with a view to publishing in quality international academic journals.
• Engage with external maritime and logistics bodies and industry to enrich the student experience, including visiting students on industrial placements.
• Engage with the external community and stakeholders to promote the Sustainable Development Goals (SDGs) agenda)
• Participate in university meetings and events, including Board of Examiners, Programme Reviews, Planning and Monitoring Committees, and Staff/Student Liaison.
• Maintain flexible working patterns which may include some evening and weekend work in support of Programme/Faculty/University business.
• Actively engage with businesses, professional bodies, port authorities, and shipping companies; organize student outreach and invite industry speakers to enhance student experience.
• Any other duties as deemed necessary by the Dean.