Deakin-Coventry Cotutelle - Deep learning and network analysis of functional neuroimaging in ADHD

This is a doctoral Cotutelle project in ‘Predicting diagnosis and symptom severity in ADHD using EEG.' between Deakin University (Australia) and Coventry University (United Kingdom).' The project is led by Coventry University.

Deakin Project Supervisor

Deakin School

Deakin Faculty


Deakin Burwood Campus (Australia) and  Coventry University (United Kingdom)

Research topic

This is a doctoral cotutelle project between Deakin University (Australia) and Coventry University (United Kingdom).

The successful PhD Student will be awarded a scholarship from Deakin University with the supervision team being drawn from Deakin University and Coventry University. The PhD Student will graduate with two testamurs, one from Deakin University and one from Coventry University, each of which recognises that the program was carried out as part of a jointly supervised doctoral program. The program is for a duration of up to 4 years and scheduled to commence in January 2025.

The PhD Student is anticipated to spend a minimum 6 months and a maximum of 12 months (with approval) of the total period of the program at Deakin University in the second year of the program, with the remainder of the program based at Coventry University.

Attention deficit hyperactivity disorder (ADHD) is a common neurodevelopmental disorder characterized by symptoms of inattention, hyperactivity and or impulsivity. The diagnosis and monitoring of the symptom severity are mostly based on subjective reports, while neuropsychological testing and direct classroom observations are more objective diagnosis methods, but they are time-consuming and expensive. A new cost-effective and accurate diagnosis and symptom monitoring technique is urgently needed.

Project aim

This project aims to explore whether EEG can provide a quantitative and effective approach for the diagnosis and severity monitoring of ADHD. Additionally, we would like to evaluate whether an integration of advanced signal processing, network-level analysis and deep learning techniques would improve the diagnosis performance compared with traditional EEG analysis methods.

Important dates

Applications close 5pm, Monday 1 July 2024


This scholarship is supported by Deakin University as the host institution, is available over 3 years and includes:

  • Stipend of £18,622 per annum tax exempt (2024 rate)
  • Full tuition fee waiver for up to 4 years
  • Funding to support travel* of PhD Student between Deakin University and Coventry University.

*funding for one return economy airfare to Deakin University (Australia) and related visa costs

Eligibility criteria

To be eligible you must:

  • be either a domestic or international candidate. Domestic includes candidates with Australian Citizenship, Australian Permanent Residency or New Zealand Citizenship.
  • meet the PhD entry requirements of both Deakin University and Coventry university, including English language proficiency requirements
  • be enrolling full time at the lead institution
  • be able to physically locate to both Deakin University (Australia) for a minimum of 6 months and maximum of 12 months, and Coventry University (UK)

Please refer to the research degree entry pathways page and Coventry’s research entry criteria page for further information.

How to apply

Applicants should firstly contact A/Prof. Tim Silk to discuss the project. After discussing your application with the Deakin Supervisor, you will be invited by to lodge a formal HDR application through the Faculty of Health.


The successful applicant will also be required to lodge a separate PhD application to Coventry University via the Coventry University application page.

Please be aware that screening for this advert will commence immediately and the scholarship may be awarded prior to the closing date.

Contact us

For more information about this scholarship, please contact:

A/Prof. Tim Silk
+61 3 924 46894

Visit Tim's profile