"Post-Doctoral Research Fellow, Smart Power Systems Engineering"

Job Requisition ID:

JR100388

This is an outstanding opportunity for a Research Fellow to work on a program of research with a multi-disciplinary team of senior researchers.

• Centre for New Energy Transition Research (CfNETR) – Mt Helen Campus
• Full-time, fixed-term appointment until August 2025
• Academic Level A6 - $96,034 p.a. plus up to 17% superannuation

Position closing date: 15/08/2024

Ranked number one university in Australia for First Generation Student Enrolments (Good Universities Guide 2022) and with top rankings in Victoria around student support, social equity, skills and employment, we are driven to make difference to every student and the community providing lifelong learning, skills, and research locally, regionally, and globally. 

With University and TAFE campuses in Ballarat, Berwick, Gippsland, and the Wimmera we are positioned to provide pathways from vocational education and skills training through to higher education.

About the role

The Post-Doctoral Fellow will support the delivery of funded research projects by contributing to application of Data Mining, AI Applications, Optimisations, and Uncertainty Modelling and Quasi static/Dynamic simulations in Power System/Microgrid operation and planning with Distributed Energy Resources.

You will contribute to:

• research activities for CfNETR projects
• delivering projects in smart power system engineering, such as microgrid planning and development, resilient power system planning, and operation;
• conduct of research and high-quality outputs; and
• contribute to the preparation of presentations and other materials and participate in relevant meetings and activities.

About you

Working under the broad direction of the Project Leaders and Director, Centre for New Energy Transition Research you will liaise with stakeholders and research partners.

You will possess:

• experience in working on the state-of-the-art power systems analytical tools (e.g., DIgSILENT Power Factory, PSCAD, and PSS/E) and using machine learning toolboxes/software;
• industry experience in Power Systems, Optimisation, and AI application with research experience in Power System Operation and Planning, Data Mining, Optimisation, uncertainty modelling, and Machine Learning;
• knowledge in computer programming, state-of-the-art power system/optimization/machine learning tools, and professional technical writing;
• research experience including undertaking literature searches, database management, preparation and publication of research findings/evidence of publication in high-quality academic journals or other equally recognised relevant research production; and
• project management experience with multiple industries and stakeholders.

How to apply

Please apply by Sunday, 15 August 2024.

Applicants are required to submit a resume and address the key selection criteria.

View position description

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