Jobs at Middlesex University Dubai

Role Summary The post holder will be an experienced academic with a strong track record in high-quality teaching, applied research, and academic leadership, with expertise in Data Visualisation & Visual Analytics, Computer Vision & Imaging, Applied Data Engineering at scale, and Generative AI & Large Language Models.The role combines curriculum leadership, innovative teaching practice, applied research, and knowledge transfer, contributing to the University’s strategic priorities in Data Science, AI, and industry-aligned education. Job Purpose 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:o Visual analytics and human-centred data visualisationo Computer vision and imaging analyticso Scalable data engineering and analytics platformso 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. RequirementsESSENTIAL REQUIREMENTSKnowledge, Skills and Experience Doctorate (or equivalent) in Data Science, Artificial Intelligence, Computer Science, or a closely related field. Strong expertise in Data Visualisation and Visual Analytics, including: Principles of visual design, interaction, and evaluation Use of tools such as Tableau and Power BI Programming-based visualisation using Python and/or R Advanced knowledge of Computer Vision and Imaging, including image and video analytics. Solid understanding of Applied Data Engineering, including: Big data architectures Hadoop ecosystem, MapReduce, and distributed processing Apache Spark for large-scale analytics Hands-on experience with cloud platforms, particularly: Google Cloud Platform (Dataproc, GCS) Amazon Web Services (EMR, EC2, S3) Strong grounding in Generative AI and Large Language Models, including: Architectures such as GPT-style and BERT-style models Fine-tuning, deployment, and integration of LLMs Responsible and ethical use of generative AI Proficiency in R, Python, SQL, and familiarity with NoSQL databases. Demonstrated ability to deliver high-quality, innovative teaching in Data Science and AI. Evidence of high-quality research outputs and active engagement in research projects. Proven ability to engage, motivate, and mentor students in a high-performance learning environment. Experience in supervising postgraduate research students. DESIRABLE REQUIREMENTS Knowledge, Skills and Experience Industry experience applying data science, AI, or visual analytics to real-world problems. Familiarity with analytics applications across sectors such as business, finance, operations, marketing, HR, or public services. Track record of securing research, consultancy, or knowledge-exchange funding. Experience in doctoral supervision and building research teams. Postgraduate Certificate in Higher Education (PGCertHE) or equivalent teaching qualification. Show more Show less