Scholarship details

Study levels


Student type

Future students

Study area

Engineering, Health and community, Science, technology and engineering and mathematics

Eligibility criteria

Academic performance

Application dates

Applications close
29 April 2022

What you'll receive

You will receive a living allowance for three years, indexed annually, of $30,000pa. The scholarship is for full-time study and can be used to support living costs.

A six-month extension to the scholarship is also possible, subject to approval by QUT.

Successful international students will also receive a HDR tuition fee sponsorship.


To be eligible for this scholarship you must:

  • meet QUT academic and English language entry requirements for the PhD
  • enrol as a full-time, internal student
  • have an undergraduate or postgraduate degree in biomedical engineering, dental science, electronics, materials science, optical physics or a related discipline
  • have obtained first or second-class honours (H1) or equivalent
  • have knowledge of bioelectronics and wearable sensing associated with physiological measurements
  • possess excellent communication skills (written and verbal) in English.

It is desirable that you have experience in:

  • fabrication and characterization of biosensing device architectures and immunoassays
  • experimental physics, advanced materials, and research methodologies applicable to bioelectronics and biosensing
  • physiological measure (e.g. electrocardiography; heart rate variability; electroencephalography).

How to apply

Email a CV and a Expression of Interest (detailing why you are applying for the scholarship and why you are an ideal candidature) to A/Professor Ajay Pandey by 29 April 2022.

These materials will be reviewed by a panel to identify a short list.

Shortlisted applicants will be notified and encouraged to make a full application.


The Scholarship will be governed by the QUTPRA (Domestic) or QUTPRA (International) scholarship rules.

About the scholarship

The Wearable Predictive Diagnostics: Mind & Body Performance Patch (MiBody) Project is funded by the Defence Science and Technology (DST) group’s Next Generation Technology Fund. The project aims to develop wearable sensor technology to monitor markers of physical and psychological stress. The project is offering a three-year PhD scholarship starting in early 2022. This is a collaborative multidisciplinary project with QUT and Griffith University. Wearable bioelectronic devices are increasingly being researched for the delivery of personalized and advanced healthcare. The team of investigators at QUT and Griffith are working on development of a multi-function performance patch by combining advances in materials, research methodology, mechanical design, and specialized biosensing device architectures and immunoassays.

In this project, you will conduct research on identification and sensing of key biomarkers of physical performance and recovery. You will work on research and development of a smart sensor in an orthodontic architecture and perform research on biosensing using human saliva. Human saliva has gained attention very recently because of its non-invasive nature of sampling, ideal for field testing. This project will investigate nano biomaterials and their electronic and optical properties to sense biomarkers present in the saliva samples. Aims of this research include:

  • A library of functional biomaterials and their suitability for heterogeneous integration as conformal and flexible bioelectronic interface for sensing of key biomarkers linked to C-reactive protein and other biomarkers linked to physical performance.
  • Surface science and microfluidic studies to capture salivary fluid and biomarkers/analytes present or that are of interest.
  • Fabrication, characterization, and optimisation of thin film samples and their ability to interface with saliva as smart sensing devices.
  • Specificity in sensing and robust performance of sensing devices.
  • Immunoassay development on the sensor and bench mark its performance to traditional ELISA to establish analytical sensitivity and specificity.

Relevant backgrounds for this project include:

  • Biomedical engineering/Biophysics
  • Advanced materials and manufacturing *Orthodontics and dental science
  • Electrical engineering/Wearable Electronics or related disciplines.

The PhD student will be supported by a multidisciplinary team with skills spanning:

  • psychology
  • neuroscience
  • imaging
  • exercise science
  • data science
  • sensor design
  • biomedical scientists
  • materials science and electrical engineering
  • computational modelling.

You will collaborate with other students and researchers from four faculties across six schools at the Queensland University of Technology (QUT) and collaborators at the University of Queensland (UQ), Griffith University, and, the University of New England (UNE); Griffith University, and our funding partner.

For more information please contact A/Professor Ajay Pandey.

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