Assistant Professor in Artificial Intelligence

1. Purpose of the Position

Muscat University seeks to expand its Faculty of Transport & Logistics by appointing a Lecturer in Artificial Intelligence. Applications are welcome from candidates with experience in teaching and research across a range of disciplines, including, but not limited to, artificial intelligence, machine learning, data science, AI applications in logistics and supply chain, and intelligent transportation systems.

With an ethos of providing exceptional student experience, the post holder will work with the Faculty Director to ensure efficient and effective delivery of modules. S/he 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.

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.

To be appointed to the rank of Assistant Professor, the candidate must hold a PhD in Artificial Intelligence, machine learning, data science, AI applications in logistics and supply chain, or a closely related field. A minimum of 2 years of experience in Higher Education (HE) teaching is required.

We acknowledge, understand, and embrace diversity and expect joining faculty to display and apply the same principles.

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.

Any other duties as deemed necessary by the Line Manager.

Qualifications, Experience & Competencies:

• Master’s in Artificial Intelligence, Computer Science, Data Science, or a closely related area for the Lecturer rank. PhD (or equivalent) in Artificial Intelligence, Machine Learning, or a closely related field. Professional qualifications and/or memberships in recognized AI or computing bodies for the Assistant Professor rank.
• Ability to communicate with clarity on complex & conceptual ideas to those with limited knowledge & understanding, and to peers, using high-level skills & a range of media.
• Ability to think critically and promote innovation and creativity.
• Demonstrates competencies, core behaviours, and supplementary behaviours that support and promote the University’s core values.
• Committed to ensuring a high-quality student experience.
• One to two years of experience in teaching modules in Sustainable Shipping, Maritime Transport, or a closely related field in Higher Education.
• Experience in the Omani and GCC HE environments. Strong links to the maritime and sustainability industry. Academic accreditation or quality assurance experiences. Experience with sustainability frameworks such as the IMO 2050 strategy or GHG reduction targets.

While we value the interest shown by every applicant, we are able to respond only to short-listed candidates. 

* The job description may be altered at any time in the future in line with the level of the post to meet changing institutional requirements, but only in full consultation with the post-holder.

Applicants are required to submit a current CV and a cover letter outlining their suitability for the position. The cover letter should clearly highlight their academic qualifications, teaching and research experience in a higher education environment, areas of teaching interest and expertise, and their motivation for applying to Muscat University.

Priority in recruitment shall be given to Omani Candidates.

Terms and Conditions:

A competitive compensation and benefits package will be offered. Annual leave entitlement will be 30 days, plus the private-sector national holidays applicable in Oman.