Study level
Vacation research experience scheme
Faculty/School
Science and Engineering Faculty
Topic status
We're looking for students to study this topic.
Supervisors
- Position
- Senior Research Fellow
- Division / Faculty
- Science and Engineering Faculty
- Position
- Senior Lecturer
- Division / Faculty
- Science and Engineering Faculty
- Position
- Associate Professor
- Division / Faculty
- Science and Engineering Faculty
Overview
QUT researchers have partnered with mining company Lava Blue and the Innovative Manufacturing Cooperative Research Centres (IMCRC) to set up a pilot plant. This pilot plant will transform kaolin clay into high-purity alumina (HPA) which is used to make LEDs and lithium-ion batteries.
As a part of this project, you will use machine learning techniques to optimise the extraction of alumina and minimise impurities in the process.
Research activities
You will apply machine learning techniques to a dataset describing elemental composition of different processes. From the developed models output, you will provide guidance for further experiments to refine the models.
Outcomes
A predictive model and techniques for optimising different parts of the alumina extraction process.
Skills and experience
As the ideal student you are both highly motivated and interested in the following:
- data science
- programming (Python desirable)
A background in chemical processing is highly desirable.
Keywords
Contact
Contact the supervisor for more information.