Assistant Professor in Artificial Intelligence | Muscat University | Faculty of Transport & Logistics

Job Description

Muscat University invites applications for an Assistant Professor in Artificial Intelligence to join the Faculty of Transport & Logistics. Applications are welcome from candidates with experience in AI, machine learning, data science, AI applications in logistics and supply chain, and intelligent transportation systems.

Position Overview:
The post holder will work with the Faculty Director to ensure efficient delivery of modules and will be responsible for teaching modules such as Artificial Intelligence in Logistics; Machine Learning for Supply Chain; Data Analysis for Logistics; Supply Chain Decision Support and Analysis; AI-Driven Transportation Systems; and Predictive Analytics in Freight Management.

Key Responsibilities:

• Deliver high-quality teaching for undergraduate and graduate Transport and Logistics Management programs with focus on AI, machine learning, and data-driven tools
• Construct, plan, and assess student assignments
• Liaise with Faculty Dean on student matters including timetabling and academic support
• Undertake role of Academic Advisor/Personal Tutor
• Conduct research and scholarly activity for publication in international academic journals
• Engage with external maritime and logistics bodies and industry
• Promote Sustainable Development Goals (SDGs) agenda
• Participate in university meetings including Board of Examiners and Programme Reviews
• Supervise UG final-year projects, PG dissertations, and AI competitions
• Engage with businesses, professional bodies, and industry partners

Qualifications & Experience:

• PhD in Artificial Intelligence, Machine Learning, Data Science, or closely related field (Assistant Professor rank)
• Master’s degree considered for Lecturer rank only
• Minimum 2 years Higher Education teaching experience
• Professional qualifications/memberships in recognized AI or computing bodies
• Experience teaching AI, machine learning, or data science modules in Higher Education
• Experience in Omani and GCC HE environments (preferred)

Core Competencies:

• Ability to communicate complex concepts clearly
• Critical thinking, innovation, and creativity
• Commitment to high-quality student experience
• Alignment with university core values

Benefits:

• Competitive compensation package
• 30 days annual leave
• Private-sector national holidays (Oman)

Application Requirements:

• Current CV
• Cover letter outlining qualifications, teaching and research experience, areas of teaching interest, and motivation for applying

Priority: Omani candidates given priority

Location: Muscat, Oman