- Automatic Machine Learning
- Machine learning has achieved great success in recent years. However, machine learning techniques are still not accessible to many practitioners who are knowledgeable in their domains, but unfamiliar with machine learning techniques (e.g., hyper-parameter tuning). Automatic machine learning can help increase the accessibility of the techniques to the wider communities. This project aims to research on automatic machine learning, and build world-class systems by exploiting automatic machine learning techniques.
- Payment type
- Fortnightly Stipend
- Value unit
- Per annum
- Basis of award
- Academic Achievement, Research Publications, Research Excellence
- Good programming skills in Python/ C
- Mathematically mature (i.e., proficient and comfortable with probability theory, statistics, linear algebra, optimisation, and calculus)
- Master/Honours degree in Computer Science or equivalent disciplines, with experience in Machine Learning/Deep Learning/Artificial Intelligence
- Experience in system building is a plus
- Interested applicants should complete the online Expression of Interest - including the name of this project as reference.
- Australian Citizen, Australian Permanent Resident, International
- Study area
- Computer Science
- Commencement date
- Applications open
- Applications close
- Tenable At
- University of Western Australia
- Currently available
- Application status
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