PhD scholarship: Large-Scale Text Analysis


Enrolment status New students
Student type Domestic students, International students
Level of study Higher Degree by Research
Study area Engineering and Computing
HDR funding type Living stipend scholarship, Tuition Scholarship
Scholarship value $28,597 per annum (2021 rate), indexed annually
Scholarship duration 3.5 years with the possibility of 1 extension in line with UQ and RTP Scholarship Policy
Opening date 21 July 2021
Closing date 22 August 2021


Supervisor - Dr Wen Hua

Information extraction, which identifies entities and their relations from textual data, is a key technology that lays the foundation for understanding the semantics of data. This project aims to investigate the problem of information extraction by innovatively exploring the informality and temporal evolution of data. It expects to develop novel techniques for reliable, efficient, and scalable information discovery from large-scale low-quality textual data. Expected outcomes include a set of collective, contextualised, and temporal-aware algorithms for information extraction and integration, built on top of effective indexing and in-parallel processing. This project is anticipated to benefit a considerable number of data-driven intelligence-based applications.

A working knowledge of deep learning, natural language processing, Python or C/C++, TensorFlow or PyTorch would be of benefit to someone working on this project.


To be eligible, you must meet the entry requirements for a higher degree by research.

This scholarship is open to Australian citizens, permanent residents and International students who are currently in Australia at the time of application and commencement.

Applications are closed.

Before you get started

If this scholarship has rules, download and read them.

How to apply

To be considered for this scholarship, please email the following documents to Dr Wen Hua (

  • Cover letter
  • CV
  • Academic transcript/s
  • Evidence for meeting UQ's English language proficiency requirements eg TOEFL, IELTS

Please note the following: Submitting the above documents does not constitute a full application for admission into The University of Queensland's PhD program. If you are selected as the preferred applicant, you will then be invited to submit a full application for admission. You can familiarise yourself with the documents required for this process on the Future Student's website.

Selection criteria

Applications will be judged on a competitive basis taking into account the applicant’s previous academic record, publication record, honours and awards, and employment history.

The applicant will demonstrate academic achievement in the field/s of information systems and data management and the potential for scholastic success.

A background or knowledge of data structure and algorithms, deep learning and natural language processing is highly desirable.

Applications are closed.


Dr Wen Hua
Applications are closed.

Terms and conditions

Read the policy on UQ Research Scholarships.

A domestic part-time student with carer’s responsibilities, a medical condition or a disability, which prevents them from studying full time may be eligible for scholarship consideration, on a case by case basis.

Applications are closed.