PhD Scholarship: Offshore Hybrid Renewable Energy Systems (OHRES): Market-Driven Site Selection a...

The project is a collaboration between the School of Engineering and Built Environment of Griffith University, CSIRO and Pitt & Sherry; and has broader support of the Blue Economy CRC. The PhD project offers substantial opportunities to engage with industry. The successful candidate will be enrolled within Griffith University’s School of Engineering & Built Setting and be affiliated with a relevant research centre or institute. The candidate will be located at the Gold Coast Campus of Griffith University.

Job Description

We are currently looking for a PhD candidate to investigate offshore to develop a spatial decision-support tool to autonomously identify optimal OHRES sites. The primary focus of this role is a GIS-based decision-support tool designed to assist energy planners and system managers in visually analysing spatial and analytical results. This project will be primarily desk-based. Success in this role requires collaboration with the industry partners and the Blue Economy CRC.

Qualifications





We are seeking a talented and motivated PhD candidate to develop a GIS-based multi-criteria decision-making (MCDM) model for Offshore Hybrid (wind, wave and Solar) Renewable Energy Systems. The PhD candidate will join a productive, multidisciplinary research team and contribute to a research programme within the Blue Economy CRC titled Offshore Renewable Energy Systems.

The selection of applicants for the award of higher degree research scholarships at Griffith University involves consideration of your academic merit and research background. You will have evidence of a passion for conducting research with a strong desire to undertake research in the field of Renewable Energy. To be successful within this role, you should have a background in either Engineering (power, renewable energy, civil, geomatic, environmental, industrial) or Energy Planning. Candidates with demonstrated knowledge of GIS and/or spatial analytics will be preferred.

- Expressions of interest are welcome from domestic and onshore international applicants.
- Applicants must have completed, or expect to complete, a bachelors degree with honours equivalent to

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