Associate Professor - AI & Big Data

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.

**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.

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.