We invite applications for PhD scholarships to join a vibrant research team on data science and machine intelligence (http://www.dsmi.tech/) to tackle real-world, high-impact, and theoretical and applied research problems at the Advanced Analytics Institute, the University of Technology Sydney.

Advanced Analytics Institute (AAi) is a world-leading research organisation with a focus on big data analytics, machine learning, and artificial intelligence field for its high quality Research, high calibre analyst Education, and high impact Development The Institute is home to world leading analytics researchers who work on a diverse range of data science and analytical problems in the areas of fundamental and applied data science, and on industry-specific projects as well.

This team has worked towards the impact publications and industry innovations in related areas in past years, highlighting its unique value to academia and industry by a number of funded projects from government and business. In order to maintain and lift our profile in innovative research and industry engagement internationally, we keep recruiting creative, passionate, and self-motivated talented students to grow up our team.

Qualifications required: Successful applicants will hold or be close to completing Honours or Research Master’s Degree with high GPA in Computer Science, Artificial Intelligence, Information Technology, Mathematics, Statistics, or other related fields with knowledge background in data mining, statistical machine learning, web mining, text mining, recommender systems, and social computing evidenced by substantial capability in algorithmic programming and models development, and industry project engagement experience.

Duration of Scholarship: Fixed-term, 36 months with possible 6 month extension:

Amount of Scholarship: Approximately AU$52,500 per annum (living stipend and tuition fee waiver), plus possible top-up industry scholarship/internship 5k-10k p.a.

The position will remain open until filled. Please send your application directly to Dr Guandong Xu (Guandong.Xu@uts.edu.au) with your CV, Transcript, and a short research statement.