Senior Lecturer/Assistant Professor in Artificial Intelligence and Data Science

at Emirates Aviation University, Dubai, United Arab Emirates

Listed on EduAtlas: live school vacancies from schools’ own careers pages and public job services. Apply on jobs.ac.uk. 1 similar post in United Arab Emirates.

Salary

Not given in the advert

Closing date

2 January 2027

Start

Not given in the advert

Type of post

Teaching

Contract

Full Time, Permanent

First seen

3 November 2026, on jobs.ac.uk

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The advert

Emirates Aviation University (EAU), the education arm of the Emirates Group, is an established higher education institution in Dubai, United Arab Emirates, committed to excellence in teaching, research and industry engagement. The University offers a wide range of undergraduate and postgraduate programmes across aviation, engineering, business and related disciplines, combining academic rigour with industry relevance. With its international academic community, industry connections and commitment to high-quality teaching and research, EAU offers a stimulating environment for academics seeking to advance their careers and contribute to their disciplines. Emirates Aviation University invites applications from suitably qualified and research-active academics for the position of Senior Lecturer / Assistant Professor in Artificial Intelligence and Data Science. The Opportunity The successful candidate will join a diverse academic community and contribute to the University’s teaching, research, curriculum development and industry engagement activities in artificial intelligence, data science and related computing disciplines. Qualifications A PhD in Artificial Intelligence, Data Science, Computer Science or Machine Learning from a recognised university. Applicants should demonstrate an active research profile and the academic standing appropriate to the rank applied for. Teaching Areas Artificial Intelligence and Machine Learning Data Science, Data Analytics and Data Visualisation Deep Learning and Generative AI Natural Language Processing and Computer Vision Big Data Technologies, Cloud Computing and MLOps Responsible AI, AI Ethics and Data Governance Programming for AI and Data Science, including Python and relevant frameworks Teaching and Assessment Responsibilities Deliver engaging lectures, seminars, laboratory sessions and project-based learning activities at undergraduate and postgraduate levels. Develop and enhance teaching materials that incorporate current technological developments, real-world datasets, industry case studies and relevant research. Design and assess coursework, examinations, laboratory work and projects, providing timely and constructive feedback. Research and Supervision Supervise undergraduate and postgraduate research projects and dissertations in artificial intelligence, data science and related areas. Undertake high-quality research, publish scholarly work in reputable peer-reviewed journals and conferences, and participate in academic and industry events. Contribute to research collaborations, grant applications, curriculum development and academic quality assurance. Required Knowledge and Experience Relevant higher education teaching experience and strong theoretical and practical knowledge of artificial intelligence and data science. Experience with contemporary machine learning and deep learning methods, data preparation and modelling, model evaluation, deployment workflows and commonly used programming languages, libraries and platforms. Evidence of the ability to teach and supervise students across a range of levels is required. Additional Skills Ability to connect academic theory with current professional practice and emerging AI applications. Evidence of relevant research activity or publications, together with strong communication, organisational, teamwork and student supervision skills. A commitment to inclusive, student-centred learning and responsible use of AI is expected. Desirable Industry Experience Professional or applied research experience in AI, data science, analytics, software development, cloud platforms or related technology sectors. Experience of industry collaboration, externally funded projects, professional certification, or applying AI and data science within aviation, engineering, business or smart systems is highly desirable. Familiarity with the UAE and international higher education or technology sectors would be an advantage. Why Join Emirates Aviation University? Emirates Aviation University offers a distinctive academic environment that combines higher education with strong connections to aviation and related industries. Located in Dubai, a global hub for aviation, business and innovation, EAU provides opportunities for academics to engage in teaching, collaborative research and industry partnerships while contributing to the education of the next generation of AI and data science professionals and researchers. Application Process Interested candidates are invited to submit an up-to-date academic CV, including a list of publications, to recruitment@eau.ac.ae , clearly indicating the position applied for in the email subject line. Applications will be reviewed on a rolling basis, and early applications are encouraged. Shortlisted candidates will be invited for interviews in London in mid-November 2026. Applications will remain open until the position is filled. Location: Dubai, United Arab Emirates Employment Type: Full-Time For more information about Emirates Aviation University, please visit www.eau.ac.ae

About Emirates Aviation University

Type

University

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