Associate Professor - AI & Big Data

About UOWD

Established in 1951 and ranked in the top 1% of universities worldwide*, Australia’s University of Wollongong is a global brand with international campuses in Dubai, Hong Kong and Malaysia.

University of Wollongong Dubai (UOWD) offers over 40 internationally recognised bachelor and master degrees spanning 10 in-demand industry sectors. All of our degree courses are accredited by the UAE Ministry of Education’s Commission for Academic Accreditation (CAA) and licensed by Dubai’s Knowledge and Human Development Authority (KHDA), as well as being recognised by leading professional organisations such as AACSB, ACCA, ACS, CIM, CIPD, CPA, Engineers Australia, PMI, and others.

The first internationally accredited Australian university in the UAE, we are the education gateway of choice for over 3,500 students, representing 100+ nationalities. Our global community of 152,000 alumni are pursuing career goals with respected blue-chip companies and industry giants such as 3M, ADCB, Adidas, Amazon, Deloitte, Emirates, FedEx, GE, IBM, Microsoft and Pepsico. Additionally, research reveals that 83%** of fresh graduates are employed within six months of graduation.

Life at UOWD is rooted in the continued pursuit of excellence through teaching, research and industry engagement, with the student experience at its heart. Our 200,000-square-foot campus at Dubai Knowledge Park features access to cutting-edge technologies and a mix of traditional and innovative learning spaces, all housed in a vibrant modern setting that promises to deliver an enriched learning experience for our students.

• QS World University Rankings 2023

**Data from the Graduate Destination Survey 2017 to 2020 About the School

The School of Computer Science, at the University of Wollongong in Dubai, seeks to appoint for the September 2026 semester a dynamic and talented academic with expertise in one or many of the following areas: 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, Computer Vision.

The School of Computer Science aims at producing innovative, well-rounded, hands-on professionals that are well versed in technological and computing concepts and skills. The school offers 7 programs under the umbrella of computer science and IT. Those programs are designed to be practical and focused on industry needed skills in popular areas of computer science and IT, including: Software development, Cyber Security, Big data and AI, Gaming and mobile development, Business information systems, IT management, and digital transformation.

Requirements & Responsibilities

We are seeking an experienced academic in the area of AI and Big Data having a PhD in the related field, from a recognized university. The position is offered at the Associate Professor level, according to experience and qualification. It is a full-time position that requires the holder to contribute to the School's teaching, research and governance activities.

The applicant is expected to have teaching experience in AI and Big Data related topics 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, Computer Vision, as well as core computer science subjects such as programming, database management, web technologies, and networking at a recognized higher education institution, along with a record of scholarly research and high-quality publications in the relevant field. Industry experience or evidence of industry-academic collaborations would also be beneficial.

The post-holder will also be expected to supervise final year graduation projects, MSc projects and PhD Thesis. He/She will be expected to fully engage in scholarly and research activities within the thriving engineering team to produce high-impact research and deliver research-informed undergraduate and Master's level teaching. The applicant is expected to have an experience of involvement in collaborative research with external organizations and have a strong track record for the dissemination of knowledge through recent publications in high impact international journals and international conferences.

As a Faculty member, you will have an excellent research track record and will be required to demonstrate research leadership from the outset. You will be expected to raise the profile of the Faculty through external networking, and producing high impact, high profile publications. In addition, you will be expected to seek to gain your own research funding to develop/expand your role within the university.

Qualifications & Experience

To qualify for the above role, candidate must have the following qualifications and experience

• PhD. in Computer Science/AI and Big Data with thesis in AL and Machine Learning from a recognized international academic institution
• At least 6 years of teaching experience at an internationally recognized institution in area related to Computer Science, AI, Data Analytics.
• Working knowledge of techniques and tools for: Big Data Management, Big Data Mining Techniques and Implementation, Foundations of Artificial Intelligence, Modern Artificial Intelligence, Computer vision and applications, Data Mining, Database performance tuning, GANs, Generative AI, and Natural language processing.
• Industry experience related to Advanced AI, Machine Learning and Smart systems is a plus
• An active researcher in the field (or related field) with publications in recognized international journals and indexed in Scopus and Web of Science
• Fluency in the English language (both spoken and written)
• 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 about the latest AI and Big Data Analysis techniques and strategies as well as the project skills to apply this knowledge in the real world
• Ability to teach and conduct research about the latest computer science topics to design, implement and test AI based solutions for solving complex problems.
• Working knowledge of Relational and Cloud databases
• Experience with Hadoop, HBase, Spark and other Big data management technologies
• Experience with AI and Machine learning models, and related libraries and platforms (e.g. TensorFlow, Keras, caffe, PyTorch, Theano, OpenCV, OpenAI, Gemini).