PhD Scholarship: Neuroprosthesis for restoring grasping function using noninvasive electrical stimulation


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, Tuition 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.


Loss of hand function significantly affects the quality of life of individuals with spinal cord injury and other neurological disorders. Among candidate interventions in these conditions, electrical stimulation is a potential technology to restore reaching and grasping function. Nevertheless, solutions proposed so far present limitations, such as limited muscle selectivity, varying motor response, or the requirement of an invasive procedure for placing the electrode interface.

In this thesis, the main goal is developing and evaluating control strategies for noninvasive electrode arrays to improve stimulation selectivity during functional grasping tasks. In addition to developing algorithms based on control and machine learning, the project also involves using wearable sensors to improving user control interface. Collaboration with researchers from health sciences and studies with persons with disabilities is expected. By the end of your graduate study, you will be an expert in neuroengineering with comprehensive skills in biomedical engineering, control, and machine learning.


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

Before you get started

If this scholarship has rules, download and read them.

How to apply

To be considered for this scholarship, please email the following documents to Dr Antonio Padilha Lanari Bo (

  • Cover letter specifying how your experience and skills match the position
  • CV including English proficiency level and publication list
  • Academic transcripts of BSc and MSc degrees
  • Contact information for at least two academic references. A support letter will be requested only if your application is considered

Please note the following: Submitting the above documents does not constitute a full application for admission into The University of Queensland's PhD program. If you are selected as the preferred applicant, you will then be invited to submit a full application for admission. You can familiarise yourself with the documents required for this process on the Graduate School's website.

Selection criteria

  • University degrees in biomedical, electrical, mechanical, mechatronics, computer engineering, or closely related disciplines.
  • Experience in biomedical signal processing, real-time control, programming in Python and Matlab, and data analysis is required.
  • Experience in human movement analysis, virtual reality, robotics, and previous research involving human subjects is desired.
  • Interpersonal, organizational, and communication skills, creativity.
  • Proficiency in written and oral English.


Dr Antonio Padilha Lanari Bo

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.