A UOW collaboration with the University of New South Wales and BlueScope Steel
Scholarship for 3.5 years of full-time study
AUD33,143 per annum
The ARC Research Hub for Australian Steel Innovation (Steel Research Hub), led by the University of Wollongong, is a 5 year, $28m research program bringing together 9 Universities and 8 industry partners, to deliver innovative research designed to enable a necessary technological shift across the entire Australian steel supply chain. This includes projects covering steel sustainability, recycling, energy efficiency and circular economy.
This project will be undertaken at the School of Computer Science and Engineering at the University of New South Wales.
Working within Program 4 (Steel supply chain transformation) of the Steel Research Hub, the PhD Candidate will be involved in Project 4.1.4 - Machine Learning. This is a collaboration with BlueScope Steel, the candidate will work closely with staff at the Port Kembla Steel Works. The project proposes to use machine learning and knowledge acquisition techniques to capture the knowledge of expert metallurgists in different aspects of steel manufacturing. The prototype is being developed for the plate mill.
Working within a large-scale, multi-disciplinary research entity (30+ PhDs, 20+ Post-Docs), the appointee will have contact with BlueScope Steel on aspects of applied, industry-focussed research. As well as collaborating with the wider Steel Research Hub research team, the successful appointee will be supported through additional mentoring, training and personal development.
Selection criteria
Essential academic qualification
Applicants should:
- hold a Masters by Research, or
- an Honours 1st class (or equivalent) undergraduate degree in either
- Materials Science
- Chemical
- Mechanical Engineering
- or a relevant discipline
- or the equivalent combination of professional experience and academic qualifications
- have written and oral communication skills
- have skills in presenting research work and outcomes to different audiences.
Highly desirable
- Knowledge and ability in programming with Python or C/C++
- Knowledge and ability in machine learning or other topics in artificial intelligence
Conditions for application
- Capacity to work for extended periods with officers from BlueScope Port Kembla Steelworks.
- Applicants should submit a cover letter detailing relevant experience and research interest; CV with names and addresses of two referees; and Academic transcripts.
- Both domestic and international prospective candidates are encouraged to apply.
- Contact for the position is Claude Sammut (c.sammut@unsw.edu.au).
Closing date
The position will close once the appropriate candidate has been recruited.