Power System Engineering PhD Scholarships
Centre for New Energy Transition Research (CfNETR), Federation University Australia, is pleased to partner with Qatar University and Qatar Research Development and Innovation Council to offer Two Fully Funded HDR scholarships in Power System Engineering.
Scholarship details
Stipend: $35,000 per annum (indexed annually)
Top-Up: $2,000 per annum
Tuition Scholarship: RTP Fee Offset (Domestic Students) or Tuition Fee Scholarship (International Students)
Project support: $6,000 (entire candidature)
Funding length: 3 years
Location: Mt Helen campus
Eligibility
Scholarship applicants must be eligible to undertake a PhD. Verify you can meet eligibility requirements outlined on the Graduate Research School website. If you are applying for ‘Honours equivalence,’ please provide detailed information to support your case.
Applicants: International students and/or Domestic students (Australian citizens/permanent residency status).
Application closing date: 20 June 2024
This is an outstanding opportunity for motivated candidates in Power System Operation and Planning with Distributed Energy Resources to work with world-renowned senior researchers (IEEE Fellows and Editor in IEEE Transactions) and an emerging mid-career researcher(s) on an international collaborative project that involved four IEEE Fellows, multiple industries, and research fellows. Two senior professors from Federation University are involved with the project, Professor Syed Islam (IEEE Life Fellow) and Professor Nima Amjady (IEEE Fellow, Editor in IEEE Transactions), supported by a strong team of researchers, computation and lab facilities including opportunities for internship in Australia and overseas. The research team also has strong connections with international research leaders on power and energy in the UK, USA, Canada and other locations. The position will provide significant opportunities for high-impact publications and the opportunity to work with stakeholders from the power and energy sectors nationally and internationally.
Applicants should contact the supervisory team via e-mail (n.amjady@federation.edu.au or m.shah@federation.edu.au) before applying.
The applicant must submit a detailed resume with publication records and a 1200-word research proposal/plan.
How to Apply: Domestic students should apply using the HDR Domestic Application form. International students should apply using the StudyLink application system.
Commencement date: Successful applicants will be expected to commence in September 2024. However, the successful candidate may negotiate the commencement date.
Research Project Outline
Project title: Developing load time series analysis and forecasting methods
This project involves developing load time series using historical data and real-time information from sources like smart meters. The candidate will analyse the obtained data.
- Signal processing tools in both the time domain and frequency domain, such as volatility analysis tools in the time and frequency domain.
- Artificial intelligence tools, such as recent versions of deep neural networks.
The HDR candidate should be able to develop a tool based on data mining and deep learning technologies that can accurately predict electric load using historical load data and other relevant influencing factors. The tool should be able to generate multi-step-ahead load forecasts in the presence of electric vehicle parking lots and distributed energy resources, which is crucial in the planning and operation of today electric power utilities.
Eligibility: Electrical or Computer Engineering Degree with good mathematical and programming skills. Student from Applied Mathematics are also encouraged to apply.
Project title: Bi-level uncertainty-aware DER aggregation planning tool
Distributed Energy Resources (DERs) may not fully benefit the power system if they act independently. Additionally, their uncertain and conflicting interactions may even harm the system. Moreover, their uncertainties may cause the system operating conditions to deviate from the planned conditions, resulting in a suboptimal or even infeasible system operating point. In this project, the prospective HDR candidate addresses these essential requirements by optimizing the aggregation of DERs while considering their various relevant uncertainties.
Eligibility: Electrical Engineering Degree with good mathematical and programming skills.