PhD Scholarship in maximising renewable energy for water corporations through machine learning, peer-to-peer trading and demand management

A highly competitive scholarship is available to support a suitably interested and eligible candidate to undertake a 3-year Industry PhD research project. The PhD project will be completed in the School of Property, Construction and Project Management, and is funded by a generous 3-year scholarship by the RACE for 2030 Collaborative Research Centre in collaboration with industry partner Sydney Water. 

A highly competitive scholarship is available to support a suitably interested and eligible candidate to undertake a 3-year Industry PhD research project. The PhD project will be completed in the School of Property, Construction and Project Management, and is funded by a generous 3-year scholarship by the RACE for 2030 Collaborative Research Centre in collaboration with industry partner Sydney Water. 

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Value and duration

RACE for 2030 will provide a living stipend scholarship for three years of $38,000 per annum (tax exempt). RACE for 2030 does not cover international tuition fees if they apply. RACE for 2030 will also supply up to $3,000 per annum for expenses for the candidate, for items such as a computer, publishing fees, travel or conference costs. 
Number of scholarships available

One (1).

Eligibility

• Applicants should have a first-class Honours or Masters degree or equivalent in a related discipline, OR a combination of an upper second-class Honours degree or equivalent in a related discipline together with a minimum of five years equivalent full-time professional work experience in a relevant field. 
• Applicants must be eligible for enrolment in their chosen course at RMIT. It is recommended that students obtain relevant postgraduate information from the relevant university before pursuing a scholarship inquiry.
• Applicants must be studying full-time.  

How to apply

Please apply by submitting your CV and relevant documents to the scholarship contact.

Open date

Applications are open now.

Close date

16 October, 2022.

Further information

This PhD project will explore the potential to achieve net zero emissions by investigating a series of demand management and renewable energy adoption scenarios. 

This PhD will be completed through a PhD by publication/compilation or thesis with a minimum of three peer reviewed publications and will commence with an industry focused Rapid Review. This PhD will also be supported by an Industry Reference Group throughout the project providing the opportunity to develop advanced research skills, contribute to an important global issue and engage meaningfully with industry.

PhD candidate skills and experience that will be advantageous:

• Demonstrated proficiency with at least one programming language, with knowledge of Python and Java being favourable
• Have a Bachelor Honours degree/Masters degree in information technology or computer science or software engineering discipline with at least average distinction GPA and average 80% grades
• Experience of full-stack web/software development project. Experience of data science/AI project in the energy sector. 

During the competitive selection process, candidates will also be assessed upon their ability to:

• Independently pursue their work
• Collaborate with others, including industry and research partners
• Analyse and work with complex issues and
• Formulate scientific and industry-focused texts.

Terms and conditions

This scholarship will be governed by RMIT University's Research Scholarship Terms and Conditions .

Contact

Associate Professor Rebecca Yang via [email protected]

RACE for 2030 will provide a living stipend scholarship for three years of $38,000 per annum (tax exempt). RACE for 2030 does not cover international tuition fees if they apply. RACE for 2030 will also supply up to $3,000 per annum for expenses for the candidate, for items such as a computer, publishing fees, travel or conference costs. 

RACE for 2030 will provide a living stipend scholarship for three years of $38,000 per annum (tax exempt). RACE for 2030 does not cover international tuition fees if they apply. RACE for 2030 will also supply up to $3,000 per annum for expenses for the candidate, for items such as a computer, publishing fees, travel or conference costs. 

One (1).

One (1).

• Applicants should have a first-class Honours or Masters degree or equivalent in a related discipline, OR a combination of an upper second-class Honours degree or equivalent in a related discipline together with a minimum of five years equivalent full-time professional work experience in a relevant field. 
• Applicants must be eligible for enrolment in their chosen course at RMIT. It is recommended that students obtain relevant postgraduate information from the relevant university before pursuing a scholarship inquiry.
• Applicants must be studying full-time.  

• Applicants should have a first-class Honours or Masters degree or equivalent in a related discipline, OR a combination of an upper second-class Honours degree or equivalent in a related discipline together with a minimum of five years equivalent full-time professional work experience in a relevant field. 
• Applicants must be eligible for enrolment in their chosen course at RMIT. It is recommended that students obtain relevant postgraduate information from the relevant university before pursuing a scholarship inquiry.
• Applicants must be studying full-time.  

Please apply by submitting your CV and relevant documents to the scholarship contact.

Please apply by submitting your CV and relevant documents to the scholarship contact.

Applications are open now.

Applications are open now.

16 October, 2022.

16 October, 2022.

This PhD project will explore the potential to achieve net zero emissions by investigating a series of demand management and renewable energy adoption scenarios. 

This PhD will be completed through a PhD by publication/compilation or thesis with a minimum of three peer reviewed publications and will commence with an industry focused Rapid Review. This PhD will also be supported by an Industry Reference Group throughout the project providing the opportunity to develop advanced research skills, contribute to an important global issue and engage meaningfully with industry.

PhD candidate skills and experience that will be advantageous:

• Demonstrated proficiency with at least one programming language, with knowledge of Python and Java being favourable
• Have a Bachelor Honours degree/Masters degree in information technology or computer science or software engineering discipline with at least average distinction GPA and average 80% grades
• Experience of full-stack web/software development project. Experience of data science/AI project in the energy sector. 

During the competitive selection process, candidates will also be assessed upon their ability to:

• Independently pursue their work
• Collaborate with others, including industry and research partners
• Analyse and work with complex issues and
• Formulate scientific and industry-focused texts.

This PhD project will explore the potential to achieve net zero emissions by investigating a series of demand management and renewable energy adoption scenarios. 

This PhD will be completed through a PhD by publication/compilation or thesis with a minimum of three peer reviewed publications and will commence with an industry focused Rapid Review. This PhD will also be supported by an Industry Reference Group throughout the project providing the opportunity to develop advanced research skills, contribute to an important global issue and engage meaningfully with industry.

PhD candidate skills and experience that will be advantageous:

• Demonstrated proficiency with at least one programming language, with knowledge of Python and Java being favourable
• Have a Bachelor Honours degree/Masters degree in information technology or computer science or software engineering discipline with at least average distinction GPA and average 80% grades
• Experience of full-stack web/software development project. Experience of data science/AI project in the energy sector. 

During the competitive selection process, candidates will also be assessed upon their ability to:

• Independently pursue their work
• Collaborate with others, including industry and research partners
• Analyse and work with complex issues and
• Formulate scientific and industry-focused texts.

This scholarship will be governed by RMIT University's Research Scholarship Terms and Conditions .

This scholarship will be governed by RMIT University's Research Scholarship Terms and Conditions .

Associate Professor Rebecca Yang via [email protected]

Associate Professor Rebecca Yang via [email protected]