Embedded Intelligence – Deep Learning Algorithms and Architectures for Efficient Hardware Implementation PhD Scholarship - University of the Sunshine Coast, Queensland, Australia

Accessibility links

Embedded Intelligence – Deep Learning Algorithms and Architectures for Efficient Hardware Implementation PhD Scholarship

Accepting expressions of interest until 28 February 2022.

Reference Code

DVC2006-ANG

Open to

Domestic and International Students

HDR Program

Doctor of Philosophy

Study area

Electrical and Electronic Engineering

Scholarship includes

Living stipend and Tuition Fee scholarship for 3 years with the possibility of a 6-month extension in approved circumstances.

Stipend value

AU$28,854 (2022 rate) per annum tax-free, paid in fortnightly instalments. The rate is indexed annually commensurate with the RTP base stipend rate.

Study Load

Must remain enrolled on a full-time basis

Project

Artificial intelligence (AI) and machine learning (ML) algorithms have seen wide adoption across different domains and hardware platforms in recent years. Different approaches can be used for hardware implementation from traditional microcontrollers to new approaches using GPU and reconfigurable FPGA technologies. This research aims to design and develop core algorithms (e.g., deep learning, swarm intelligence, etc.) and architectures for embedded device analytics that are able to be effectively deployed into various hardware technologies by evaluating the speed, performance and latency through hardware acceleration. Applications for smart cities, environmental sensing, communications, transportation, power systems, etc. can also be considered.

Ideal candidate

This scholarship is for a PhD in the School of Science, Technology and Engineering in the area of "Embedded Intelligence - Deep Learning Algorithms and Architectures for Efficient Hardware Implementation". This opportunity will suit a person who has a strong work ethic, is self-motivated, and has a desire to learn and develop as a researcher. Applicants with experience in the research area (AI, deep learning, edge architectures, etc.) and practical hardware development skills (e.g., FPGA, GPU, LabVIEW, etc) will be strongly looked upon.

Contact Person

For questions or to submit your Expression of Interest, please contact Prof. Li-minn Ang (Kenneth) at email: lang@usc.edu.au

Eligibility
  • Be accepted into the Doctor of Philosophy program at the University of the Sunshine Coast
  • Not have an equivalent qualification to the one for which is currently being applied for
  • Have a First-Class Bachelor Honours Degree, or show equivalent level of achievement with other academic qualifications or professional research experience
Selection criteria

Standard Criteria

  • Academic Achievement (Assess the quality of the candidate's academic performance)
  • Research Capability (Assess evidence of research preparedness and capability)

Project Specific Criteria 

  • Experience in the research area (AI, deep learning, edge architectures, etc.) and practical hardware development skills (e.g., FPGA, GPU, LabVIEW, etc).
Application

This will be a two-stage application process:

Stage 1 - Expression of Interest:

  • Interested applicants should email their Expression of Interest (EOI) together with any supporting documents to the contact person.
  • The scholarship assessment panel will review the EOI. If shortlisted, you will be invited for interview.
  • The preferred applicant will be invited to formally apply.

Stage 2 - Formal application (only if you have been invited to apply)

  • Read the important information on How to Apply for a HDR Program at USC.
  • Download and complete the USC Research Scholarship (USCRS) application form. Ensure you respond to each of the selection criteria listed on the advertisement page.
  • Submit your USCRS application form together with your HDR Program application.

*scholarship offer is subject to applicant meeting the eligibility requirements for entry into a higher degree by research program at USC. You will not receive an offer for Scholarship if you have not been accepted into the program.

If you need assistance with how to apply, please direct your enquiry to the Graduate Research School at researchtraining@usc.edu.au