Safetech Industry Scholarship

Development of an advanced diagnostic and data gathering capability in collaboration with Safetech

Scholarship value: $30,000 per year stipend to support living costs and a Research Training Program (RTP) fee scholarship valued at $27,800 per annum over three years (for international students).
Project support: $2000 per year
Eligibility: Honours 1 or Equivalence. Domestic, permanent residents and International candidates may apply

Application form and project details: Safetech Application Form

This research project will partner Safetech, a leading manufacturer of custom lifting solutions with FedUni's research priority area in information forensics and security.

FedUni's information forensics and security area involves research in (i) cyber security, (ii) optimal and adaptive security, (iii) healthcare privacy, (iv) Internet of Things and software defined network security, and (v) analytics for cyber security attribution.

Based in Moe, Safetech started life as a company focused on new ideas to improve customer safety and productivity by designing custom lifting solutions.

The project will develop a methodology to process data collected from real-time sensors to be able to predict the performance and assist in the diagnosis of issues. It is envisaged that a novel data analysis technique based around artificial neural networks will be developed to be able to deliver a system that is robust at processing the data and discriminating a range of common and rare faults.

The successful candidate will be required to participate in an industry placement with Safetech during their candidature.

Principal Supervisor: Professor Steven Wilcox, BSc(Hons), PhD, CEng, CPEng, Fellow of IMechE, Fellow of Engineers Australia, Senior Fellow Higher Education Academy, Supervised 21 higher degree students, currently supervising 4 students, registered as principal supervisor. Professor Wilcox's major research interests centre around condition monitoring and the application of advanced signal processing and AI techniques to help solve engineering problems.

Associate Supervisor: Dr. Tanveer Choudhury BSc(Hons) Electrical & Electronic Engineering, PhD, MIEEE, supervised 10 Masters students. Dr Choudhury specialises and has active research interest in mechatronics, machine learning, predictive control systems, artificial intelligence and their applications.

Associate Supervisor: Dr Gayan Kahandawa BSc. Engineering, MSc, PhD, research expertise includes mechatronics systems, structural health monitoring, fibre optic sensors and artificial intelligence.

Industry Supervisor: Dave Burleigh

How to apply:

Prospective candidates should indicate on the Application for Admission Form that they are applying for the Safetech Industry scholarship.

The Application for Admission Form is available on the FedUni HDR Apply pageAll applicants should check their eligibility prior to applying.

Applications should include all relevant supporting documentation and FedUni must receive completed referee report forms by the scholarship closing date, Friday 29th June. As part of their application, prospective Higher Degree by Research applicants are also required to provide:

  • Safetech Application Form
  • Application for Admission Form
  • Transcripts of all tertiary level academic study
  • Australian citizens must provide a copy of their birth certificate or passport
  • Permanent Residents must provide a copy of their visa and passport
  • International applicants must provide evidence of their student visa when available and passport
  • List of published work with URL links and/or copy of each publication
  • Copy of honours or masters thesis abstract
  • Evidence for Australian honours equivalency, if applicable.
  • Any awards or accolades
  • Any other evidence of research performance