Associate Professor - AI & Big Data

Uowdubai; Dubai; On-site; AED 250,000 - 350,000; Full time

Benefits offered by this job

Competitive tax-free salary

Comprehensive medical insurance

Annual leave entitlement

Public holidays

End-of-service gratuity

Professional development support

Collegial and research-active environment

Job summary

Uowdubai is seeking an experienced Associate Professor in the area of AI and Big Data, requiring a PhD and at least 6 years of teaching experience. The successful candidate will teach modules related to AI and Big Data, supervise academic projects, and engage in scholarly research. The role offers a competitive tax-free salary, comprehensive medical insurance, and a supportive academic environment within the UAE's diverse workforce.

Qualifications

• PhD in Computer Science/AI and Big Data with a thesis in Artificial Intelligence and Machine Learning.
• At least 6 years of teaching experience in Computer Science, AI, or Data Analytics.
• Active research record with publications indexed in Scopus and Web of Science.
• Fluency in English and excellent communication skills.

Responsibilities

• Teach AI and Big Data related modules.
• Supervise final year graduation projects and PhD theses.
• Engage in scholarly research and produce high-impact publications.
• Participate in collaborative research and seek external funding.

Skills

AI and Big Data

Machine Learning

Computer Vision

Natural Language Processing

Data Mining

Database Management

Hadoop

Spark

TensorFlow

Keras

Education

PhD in Computer Science/AI and Big Data

Tools

Hadoop

TensorFlow

Keras

PyTorch

OpenCV

Job description

Responsibilities & Requirements

We are seeking an experienced academic in the area of AI and Big Data with a PhD from a recognized university. The position is offered at the Associate Professor level.

The post-holder will contribute to the School’s teaching, research and governance activities by:

• Teaching AI and Big Data related modules including Big Data Management, Big Data Mining Techniques and Implementation, Foundations of Artificial Intelligence, Modern Artificial Intelligence, Machine learning models, generative AI and general adversarial networks (GANs), Natural language processing, and Computer Vision, as well as core computer science subjects such as programming, database management, web technologies, and networking.
• Supervising final year graduation projects, MSc projects and PhD theses.
• Engaging in scholarly research, producing high‑impact publications in international journals and conferences, and dissemination of knowledge.
• Actively participating in collaborative research with external organizations and seeking external research funding.

Applicants are expected to demonstrate research leadership from the outset and to raise the profile of the Faculty through external networking and high‑profile publications.

Qualifications & Experience

To qualify for the role, candidates must have:

• PhD in Computer Science/AI and Big Data with a thesis in Artificial Intelligence and Machine Learning from a recognized international academic institution.
• At least 6 years of teaching experience at an internationally recognised institution in areas related to Computer Science, AI, or Data Analytics.
• Working knowledge of Big Data Management, Big Data Mining Techniques and Implementation, Foundations of Artificial Intelligence, Modern Artificial Intelligence, Computer Vision, Data Mining, Database performance tuning, GANs, Generative AI, and Natural Language Processing.
• Industry experience related to Advanced AI, Machine Learning and Smart systems (preferred).
• Active research record with publications indexed in Scopus and Web of Science (or equivalent).
• Fluency in English (spoken and written) and excellent communication skills.

Preferred Qualifications

• Documented experience in the application of Artificial Intelligence, Machine Learning, and Big Data Analysis to modern information systems problems.
• Ability to teach and conduct research on the latest AI and Big Data techniques and strategies, and to apply this knowledge in real‑world projects.
• Knowledge of Relational and Cloud databases.
• Experience with Hadoop, HBase, Spark and other Big Data management technologies.
• Experience with AI and Machine learning libraries and platforms such as TensorFlow, Keras, caffe, PyTorch, Theano, OpenCV, OpenAI, Gemini.

Benefits

• Competitive tax‑free salary commensurate with academic rank, qualifications, and experience.
• Comprehensive medical insurance in accordance with UOWD policy.
• Annual leave entitlement in line with UOWD policy and UAE Labour Law.
• Public holidays as per UAE calendar.
• End‑of‑service gratuity calculated per UAE Labour Law.
• Professional development support including access to research facilities, academic resources, and scholarly networks.
• A collegial and research‑active academic environment.

UOWD is committed to a supportive, inclusive, and intellectually stimulating workplace that enables academic staff to excel in teaching, research, and service.

UOWD is an equal opportunity employer that attracts, develops, motivates, empowers, and retains a diverse workforce.