Research Associate in Machine Learning for Steel

4 weeks ago

Sydney, Australia University of New South Wales Full time

**Job no**: 513237

**Work type**: full time

**Location**: Sydney, NSW

**Categories**: Post Doctoral Research Associate

**The Opportunity**

As a Research Associate, you will be working on a project within the ARC Research Hub for Australian Steel Innovation (Steel Research Hub). Led by the University of Wollongong, the Steel Research Hub brings together 9 Universities (University of NSW, Australian National University, RMIT University, University of Sydney, University of Newcastle, Swinburne University of Technology, Deakin University and Monash University) and 10 industry partners (BlueScope, Infrabuild Wire, Infrabuild Manufacturing, Liberty Primary Steel, ArcelorMittal, Australian Steel Institute, Weld Australia, Australian Industry Group and NASH) to deliver innovative research designed to enable a necessary technological shift in the steel supply chain.

Working within Program 4 (Steel Supply Chain Transformation) of the Steel Research Hub, you will be involved in and lead research activities in a project which aims to implement interactive and explainable machine learning algorithms to assist in steel production. Working closely with Professor Claude Sammut and our collaborators, the University of Wollongong and industry partner BlueScope Steel, you will be responsible for designing, implementing, and testing software for capturing expertise in steel manufacturing, reporting project status and outcomes, liaison with the industry partner, and preparation of research papers.

This is a highly collaborative project where you will work closely with personnel at BlueScope’s Port Kembla Steelworks to undertake applied, industry-focussed research. You may be required to spend a fraction of your work time embedded within the partner team at Port Kembla.

This role reports to Professor Claude Sammut..
- Salary, Level A - $100,318 to $107,299 per annum + 17% superannuation
- Full time
- Fixed-term contract -3 years with a possible extension
- Location: Kensington - Sydney, Australia

**About UNSW**

UNSW isn’t like other places you’ve worked. Yes, we’re a large organisation with a diverse and talented community; a community doing extraordinary things. But what makes us different isn’t only what we do, it’s how we do it. Together, we are driven to be thoughtful, practical, and purposeful in all we do. If you want a career where you can thrive, be challenged and do meaningful work, you’re in the right place.

**Skills & Experience**
- PhD (or soon to be awarded) in computer science, materials, manufacturing, engineering or related fields.
- Demonstrated ability to conduct independent work with limited supervision.
- Demonstrated involvement in industry projects in related fields.
- Demonstrated ability to work in a team, collaborate across disciplines and build effective relationships.
- Strong interpersonal skills with demonstrated ability to communicate and interact with a diverse range of stakeholders and students.
- Proficiency in machine learning and knowledge acquisition techniques, including symbolic methods for building explainable models.
- Experience with programming in C/C++, Python, and database system. Desirable experience with Microsoft Azure.
- Experience with good software engineering practices.
- Ability and capacity to implement required UNSW health and safety policies and procedures.

Additional details about the specific responsibilities for this position can be found in the position description.

**Contact**:
Eugene Aves - Talent Acquisition Consultant

**Applications close**:11:55 pm (Sydney time) on Wednesday, 3rd May 2023

Position Description

**Advertised**: 13 Apr 2023 AUS Eastern Standard Time
**Applications close**: 03 May 2023 AUS Eastern Standard Time

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