New deep learning based methods for assessment of sleep apnea severity and risk of related short and long term health consequences - PhD scholarship

Summary

Enrolment status New students
Student type Domestic students, International students
Level of study Higher Degree by Research
Study area Engineering and Computing, Health and Behavioural Sciences, Medicine
HDR funding type Living stipend scholarship
Opening date 17 July 2019
Closing date 18 August 2019

Scholarship description

This PhD project will focus on developing deep learning based methods for diagnostics of sleep apnea and estimation of related risks for short and long term health consequences. We develop methods that may be implemented in wearable sensors and devices for automated screening of sleep apnea, daytime somnolence and risk of severe health consequences. The study is based on large Australian and international databases. The project will require the student to develop deep neural network solutions, but also using more conventional signal analysis and processing techniques.

The successful candidate will benefit from excellent mentorship and opportunities for international academic and industry collaboration and researcher exchange.

Eligibility

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

Applications are closed.

Before you apply

If this scholarship has rules, download and read them before applying.

How to apply

To apply for admission and scholarship, follow the link above right. There is no separate application for scholarship because you will be given the opportunity to request scholarship consideration on the application for admission.

Prior to applying, check your eligibility and prepare your documentation.

You should also contact Professor Juha Töyräs (j.toyras@uq.edu.au) to discuss your suitability for this scholarship prior to submitting an application.

Please ensure that you

  1. select 'I am applying for, or have been awarded a scholarship or sponsorship'
  2. enter in the free-text field ‘SLEEP’
  3. list the enrolling unit as the School of Information Technology & Electical Engineering
  4. enter Professor Juha Töyräs as your supervisor

Selection criteria

Applications are invited from outstanding Australian and international graduates with a First-Class Honours, or equivalent relevant Masters degree. Candidates should have a background in biomedical engineering, medical physics or similar field.

Demonstration of research ability through publication output in peer reviewed international journals is desirable. To be eligible to apply you must also meet the entry requirements for Higher Degrees by Research at UQ, please visit the Graduate School's website.

Applications are closed.

Contact

Professor Juha Töyräs
+61 7 3365 2936
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.