Overview
About the project
This PhD project aims to leverage the power of applied machine learning and natural language processing techniques to revolutionise materials design. By using advanced algorithms and models, the project seeks to automate and optimise various stages of materials analysis, and then, discovery.
The Advanced Alloy Design Using Machine Learning project is offered at Deakin University.
Programme Structure
- Additionally, the project will explore innovative methods for extracting knowledge from unstructured data sources to inform and guide the materials design process.
Key information
Duration
- Full-time
- 48 months
Start dates & application deadlines
- Starting
- Apply before
-
Language
Delivered
Disciplines
Materials Science Artificial Intelligence Production and Manufacturing Engineering View 9 other PhDs in Production and Manufacturing Engineering in AustraliaAcademic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Student insurance
Make sure to cover your health, travel, and stay while studying abroad. Even global coverages can miss important items, so make sure your student insurance ticks all the following:
- Additional medical costs (i.e. dental)
- Repatriation, if something happens to you or your family
- Liability
- Home contents and baggage
- Accidents
- Legal aid
We partnered with Aon to provide you with the best affordable student insurance, for a carefree experience away from home.
Get your student insurance nowStarting from €0.53/day, free cancellation any time.
Remember, countries and universities may have specific insurance requirements. To learn more about how student insurance work at Deakin University and/or in Australia, please visit Student Insurance Portal.
Other requirements
General requirements
- academic transcripts
- curriculum vitae (CV) detailing publications, relevant professional and research experience
- evidence of English language proficiency
- statement of purpose (a written statement of your motivation)
- contact details of two academic referees.
- CRICOS Provider Code: 00113B
Tuition Fee
-
International
FreeTuition FeeBased on the tuition of 0 AUD for the full programme during 48 months. -
National
FreeTuition FeeBased on the tuition of 0 AUD for the full programme during 48 months.
All successful applicants will receive a scholarship that will cover tuition fees, a stipend and financial support.
Living costs for Geelong
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Funding
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Scholarships Information
Below you will find PhD's scholarship opportunities for Advanced Alloy Design Using Machine Learning.
Available Scholarships
You are eligible to apply for these scholarships but a selection process will still be applied by the provider.
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