PhD scholarship: Medical Image Analysis

Summary

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
Scholarship value $28,092 per annum tax-free (2020 rate), indexed annually
Scholarship duration Three years with the possibility of two 6-month extensions in approved circumstances
Opening date 17 February 2020
Closing date 2 March 2020

Description

This project aims to develop a unified framework to automate manual diseases diagnosis by addressing key research challenges in medical image analysis:

  1. improving the quality and speed of medical image annotations;
  2. transferring knowledge of different imaging procedures;
  3. providing accurate segmentation/localization of objects/areas-of-interest boundaries in medical images.

This project will be part the Data Science Research Group, Information Technology and Electrical Engineering School, at the University of Queensland located in Brisbane, Australia.

The Data Science group researches and develops innovative and practical solutions for business, scientific and social applications in the realm of big data. The group encompasses a variety of research strengths including: Data and knowledge engineering, Information Retrieval, Computer Vision, and Complex and Intelligent Systems. You will join a world-leading research group currently composed of 13 academic staff members (including 4 full professors, two DECRA fellows and an Advanced Queensland Fellow), 7 research fellows and over 40 PhD students.  Members of the group have a successful track record of publishing in top conferences and journals such as ACM SIGIR, ACM CIKM, The Web Conference (WWW), SIGMOD, VLDB, ICDE, ICDM, KDD, CVPR, ICCV, ICML, PAMI, JMLR, ICLR and various ACM and IEEE transactions.

The research environment available to the project is world-class. The University of Queensland (UQ) has a strong and internationally focused research culture. It is ranked in the top 1% of world universities in three widely publicized international University rankings. The areas of research in these PhD projects have a strategic fit within UQ’s existing research strengths in Data Science.

Brisbane is a liveable, capital city with great weather, vibrant green spaces, lively bars and restaurants, world-class art galleries and premier events. It is the third most populous city in Australia and is closed to premier recreational locations such as the Sunshine Coast and the Gold Coast.

Expected start for the project: April or July 2020

Eligibility

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

Applications are closed.

Before you get started

If this scholarship has rules, download and read them.

How to apply

To apply for admission and scholarship, follow the link on the upper right of this page. There is no separate application for scholarship because you will have the opportunity to request scholarship consideration on the application for admission.

Before submitting an application you should:

When you apply, please ensure that under the scholarships and collaborative study section you:

  1. Select ‘My higher degree is not collaborative’
  2. Select 'I am applying for, or have been awarded a scholarship or sponsorship'.
  3. Select ‘Other’, then ‘Research Project Scholarship’ and type in ‘MEDICAL IMAGEin the 'Name of scholarship' field.

See an example of what you have to do

Learn more about applying for a higher degree by research at UQ

Selection criteria

Successful applicants will have a bachelor degree (with honours – or equivalent degree, including Masters) in Computer Science or Electrical Engineering or Biomedical Engineering or Physics, or a related field; solid programming and algorithmic skills. Preferred, but not essential: in-depth knowledge of machine learning techniques, particularly deep learning demonstrated by relevant experience, courses or publications; hands-on experience with one or more deep learning libraries (Torch, Tensorflow, Theano, Caffe, etc.); in-depth knowledge of computer vision methods and algorithms.

To be considered for this scholarship, please email the following documents to Dr Mahsa Baktashmotlagh (m.baktashmotlagh@uq.edu.au)

  • Cover letter, which should also highlight why you are interested in this project, and any previous relevant experience
  • CV
  • Academic transcript/s
  • Any copy of previously published research paper where you are an author, along with a statement regarding your contribution to the research paper.

Please note the following: Submitting the above documents does not constitute a full application for admission into The University of Queensland's PhD program.

Applications are closed.

Contact

Dr Mahsa Baktashmotlagh
+61 (0) 452 561 231
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.