Lecturer/ Senior Lecturer in Data Science & AI Middlesex University Dubai

To lead and deliver excellence in learning and teaching, applied research, and knowledge transfer in Data Science and AI, with a specific focus on:

• Lead the design, delivery, and continuous enhancement of specialist modules in:
• Data Visualisation, Computer Vision & Imaging (30 credits compulsory)
• Applied Data Engineering and Big Data Analytics
• Generative AI and Large Language Models
• Ensure curricula remain research-informed, industry-relevant, and technologically current, reflecting advances in AI, visual analytics, and cloud computing.
• Deliver high-quality teaching at undergraduate and postgraduate levels using innovative, practice-oriented pedagogies.
• Design and implement hands-on learning activities, including:
• Visual analytics projects using Tableau, Power BI, Python/R visualisation libraries
• Computer vision and imaging workflows
• Cloud-based big data pipelines using EMR, Dataproc, Hadoop, Spark
• Practical LLM fine-tuning, deployment, and integration tasks
• Lead initiatives to enhance student engagement, employability, and learning outcomes, including assessment innovation and authentic industry-linked coursework.
• Provide academic advice, mentoring, and pastoral support to students.
• Supervise undergraduate and postgraduate dissertations aligned to Data Science, AI, visual analytics, and generative AI.
• Work closely with technical, teaching, and administrative staff to maintain a high-quality learning environment.

Research and knowledge transfer

Promote and strengthen the research culture and applied research capacity of the Campus in Data Science and AI.

Shape, lead, and contribute to applied research projects in areas such as:

Visual analytics and human-centred data visualisation

Computer vision and imaging analytics

Scalable data engineering and analytics platforms

Generative AI, LLMs, and human-AI interaction

Maintain a strong personal research profile, with outputs of recognised international quality.

Demonstrate commitment to research impact, including knowledge transfer, industry collaboration, and societal benefit.

Attract, supervise, and mentor Masters and Doctoral students.

Contribute to securing research, consultancy, and knowledge-exchange funding.

Academic Leadership and Management

• Provide academic leadership in designated areas such as module leadership, programme leadership, or curriculum development, as agreed.
• Contribute to cross-Campus activities, including student recruitment, induction, assessment, partnerships, and external engagement.
• Represent staff and students on Campus and University committees, as required.
• Coach, mentor, and support academic colleagues in teaching innovation and curriculum development.
• Contribute to staff development, performance review, and academic mentoring.
• Manage allocated academic resources efficiently and effectively.
• Undertake other academic or leadership duties aligned with the strategic needs of the Campus.