Machine Learning Developer (Water Research Centre)

The Opportunity

The School of Civil and Environmental Engineering at UNSW is looking for a motivated Machine Learning Developer to join our team working in the Water Research Centre. You will work on industry-funded projects aimed at developing machine learning tools to reduce operating and maintenance costs, as well as the carbon footprint, of water treatment processes, with initial studies focusing on reverse osmosis membrane treatment. You will play a critical role in developing machine learning-based models and software packages and be responsible for liaising with various industry partners in China, including data collection from full-scale plants, attending meetings, and report writing.

This role reports to Scientia Professor David Waite and has no direct reports.

• Salary, Level 6: $100,354 to $107,054 per annum + 17% superannuation
• Full time
• Fixed term – 12 months with 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.

The School of Civil and Environmental Engineering is in the Faculty of Engineering that has over 3,300 students and an operating budget of over $23 million. The School has 48 full time academic staff, 30 professional and technical staff and 80 research only appointments. The School’s mission is to develop well-educated graduates with the essential skills, attributes and knowledge that will enable them to practice as professional civil or environmental engineers; and to conduct research and development of international distinction to meet the needs of the discipline, industry and society. For further information about the School, please visit http://www.civeng.unsw.edu.au/

Skills & Experience

• Relevant tertiary qualification with subsequent relevant experience or equivalent competence gained through any combination of education, training and experience
• Outstanding track record of coding skills with mainstream coding languages such as Python, JavaScript and C
• Demonstrated experience in developing machine learning algorithms
• Demonstrated experience in developing front-end web applications and user interface (UI) including abilities on UI functional design, prototyping, development and UI usability testing
• Proven high level research, analysis and technical report writing skills, including literature searches, data analysis (qualitative and quantitative) and summarising findings
• Demonstrated experience in delivering oral presentations to audiences from both academia and industry
• Outstanding interpersonal and communication (both written and verbal) skills in both Mandarin and English with the ability to build and sustain effective collaborative professional relationships
• Ability to handle sensitive and confidential materials when dealing with external clients
• High-level organisational skills and ability to work effectively and efficiently in a team environment
• Knowledge and understanding of reverse osmosis membrane technologies is preferred
• Project management experience in research projects, including a track record of achievement in successfully implementing large scale industry projects is desirable
• An understanding of and commitment to UNSW’s aims, objectives and values in action, together with relevant policies and guidelines.
• Knowledge of health and safety responsibilities and commitment to attending relevant health and safety training.

Additional details about the specific responsibilities for this position can be found in the position description. This is available via JOBS@UNSW.

To Apply:

Please click the apply now button and submit your CV, Cover Letter and Responses to the Skills and Experience. You should systematically address the Skills and Experience listed within the position description in your application.

Applicants must have working rights in Australia and be able to work on site in Kensington.

Please note applications will not be accepted if sent to the contact listed below.

Contact:

Eugene Aves – Talent Acquisition Consultant

E: eugene.aves@unsw.edu.au

Applications close: 11:55 pm (Sydney time) on Monday 13th January 2025

UNSW is committed to evolving a culture that embraces equity and supports a diverse and inclusive community where everyone can participate fairly, in a safe and respectful environment. We welcome candidates from all backgrounds and encourage applications from people of diverse gender, sexual orientation, cultural and linguistic backgrounds, Aboriginal and Torres Strait Islander background, people with disability and those with caring and family responsibilities. UNSW provides workplace adjustments for people with disability, and access to flexible work options for eligible staff. The University reserves the right not to proceed with any appointment.