We are now offering three PhD scholarships in the broad areas of Big Data and Data Science. Students who are interested in research of big data analytics, casual association rules mining, data knowledge discovery, machine intelligence, as well as challenging and world-changing application areas such as healthcare, transport and energy , are strongly encouraged to apply.

These positions will be based in recently established Swinburne Data Science Research Institute, Swinburne University of Technology, Melbourne, Australia. Melbourne is a top ranked most livable city in our world. The PhD research will be performed under the supervision of Professor Jinjun Chen - http://www.swinflow.org/~jchen/

Scholarship information:

· Annual stipend $26,682 (2017 rate) for three years (with possible 6 month extension)

· Tuition fees for up to four years

· Thesis allowance

· Annual travel fund available

We are looking for highly-motivated, dedicated candidate. Preference will be given to those students who have:

- An excellent track record on Bachelor or Master degree, - Very good programming and math skills, - Very good communicative skills in English, both in speaking and writing, - Background in the fields of statistics, data mining, machine learning, sensing system, Internet of Things, natural language processing, and etc. - Meet Swinburne University's PhD entry requirements ( http://www.swinburne.edu.au/research/research-degrees/degre es-programs/phd-doctor-of-philosophy/)

Application: Interested candidates are invited to send their applications to Professor Jinjun Chen (jchen@swin.edu.au) by 30 April 2017, including:

1. A cover letter describing your detailed research interest 2. Soft copy of your publications if any (e.g., master’s thesis, conference/journal papers) 3. Your CV 4. Your transcripts of undergraduate and honors/master degrees 5. Proof of proficiency in English (e.g., TOEFL or IELTS) if English is not your first language