Title:
Deep nets for intelligent medical image processing
Type:
Living allowance
Value & Duration:
TGRS or APA scholarships provide AUD $26,288 per annum (2016 rate) living allowance for 3 years, with a possible 6 month extension. This rate is indexed annually.
Closing date:
10 April 2016, 12:00pm Australian Eastern Standard Time
The Research Project:
This project investigates the use of deep neural networks and develops effective intelligent methods for medical image processing.
Medical imaging is critical in collecting and visualising medical conditions for diagnosis, monitoring and surgical design for human body. However, the use of it is far from efficient. On one hand, new imaging technology offers much more information than what doctors can understand currently, and the amount of image data is quickly exceed doctors’ processing capability. On the other hand, thecomputing devices available nowadays cannot have the same level of cognitive and decision making capability of human beings to use the huge amount of images acquired.
Deep learning neural network is the latest development of artificial intelligence. It imitates the learning process of human beings in the way of accumulating knowledge from extensive experiences. By diving the knowledge accumulation and abstraction into multiple layers, a deep neural network, if designed appropriately, can be trained and effectively applied in decision making. Several successful examples of such deep network have been reported recently, such as those used by Google and Facebook. In March of 2016, a computer system equipped with a deep learning network won the Go game, known as the most sophisticated board game, against the best human player in the world.
This project will explore the structure of deep learning network and develop an efficient intelligent image processing system with effective cognitive thinking and decision making capability for medical images and apply the system prototype in some particular health issues of major concern of the community. It is expected the outcome will advance the machine cognitive capability for automatic medical image processing.
Eligibility:
The following eligibility criteria apply to this scholarship:
  • The scholarship is open to Australian (domestic) candidates and to International candidates.
  • The PhD must be undertaken on a full-time basis.
  • Applicants must already have been awarded a first class Honours degree or hold equivalent qualifications or relevant and substantial research experience in an appropriate sector.
  • Applicants must be able to demonstrate strong research and analytical skills.
  • Applicants must meet English requirements, or be able to do so before commencement.

Application Process:
Applicants should complete the application via the University of Tasmania's admissions system and scholarship section (see How to Apply on theGraduate Research Future Studentspage) and indicateunder ‘Scholarship Support: Living Allowance’that you wish to be considered for a ‘UTAS merit-based scholarship for a living allowance’
More information:
Please contact Dr Danchi Jiang for more information. Dr Danchi Jiang. School of Engineering and ICT.
Title:
Smart energy networks featuring massive connected heterogeneous sources and sensors with incomplete and asynchronous communication
Type:
Living allowance
Value & Duration:
TGRS or APA scholarships provide AUD $26,288 per annum (2016 rate) living allowance for 3 years, with a possible 6 month extension. This rate is indexed annually.
Closing date:
10 April 2016, 12:00pm Australian Eastern Standard Time
The Research Project:
With massive distributed renewable energy sources and sensors, complete and accurate administration and control of entire power network for optimal use becomes impossible from a central administrative station. The major challenges are the large amount of data with various precision and various latencies. Network fluctuations can also be a significant cause. This project is to investigate the impact of information incompleteness and latencies, and develop an effective protocol to distributed administration and control of such power networks featuring massive connected heterogeneous sources and sensors. The developed method can also be applied to other sensor networks with massive nodes and asynchronous communication.
Eligibility:
The following eligibility criteria apply to this scholarship:
  • The scholarship is open to Australian (domestic) candidates and to International candidates.
  • The PhD must be undertaken on a full-time basis.
  • Applicants must already have been awarded a first class Honours degree or hold equivalent qualifications or relevant and substantial research experience in an appropriate sector.
  • Applicants must be able to demonstrate strong research and analytical skills.
  • Applicants must meet English requirements, or be able to do so before commencement.
Candidates from a variety of disciplinary backgrounds are encouraged to apply. Knowledge and skills that will be ranked highly include:
  • power system
  • Computer and Data networks
  • Optimization methods
  • Programming skills

Application Process:
Applicants should complete the application via the University of Tasmania's admissions system and scholarship section (see How to Apply on theGraduate Research Future Studentspage) and indicateunder ‘Scholarship Support: Living Allowance’that you wish to be considered for a ‘UTAS merit-based scholarship for a living allowance’
More information:
Please contact Dr Danchi Jiang for more information. Dr Danchi Jiang. School of Engineering and ICT.