UNSW · 5 hours ago
Research Associate - Machine Learning (Environmental Technologies)
UNSW is seeking a motivated Research Associate with skills in Machine Learning to contribute to research efforts in optimizing water treatment processes. The role involves developing advanced machine learning models and software tools, supporting industry-funded projects, and collaborating with academic and industry partners.
Higher Education
Responsibilities
You will contribute to UNSW’s research efforts by developing advanced machine learning models and software tools aimed at optimizing water treatment processes and facilitating environmental management
You will be expected to combine fundamental research with applied development, supporting industry-funded projects to reduce operational costs and carbon footprint in water treatment and to aid in water and air-related environmental management
You will work collaboratively with academic and industry partners, focusing on innovative AI-based solutions integrated with mechanistic models, and will actively disseminate research outcomes through publications and conference presentations
Qualification
Required
PhD in a relevant discipline or equivalent experience
Demonstrated ability to undertake high-quality academic research and conduct independent research with limited supervision
Strong coding skills in languages such as Python, JavaScript, and C
Experience in developing machine learning algorithms and front-end web applications (UI design, prototyping, usability testing)
Proven research, analysis, and technical report writing skills
Ability to assimilate knowledge of water treatment technologies and environmental processes and mechanistic aspects of these technologies and processes
Outstanding interpersonal and communication skills in English
Demonstrated ability to work collaboratively in multidisciplinary teams
Demonstrated ability to communicate and interact with a diverse range of stakeholders and students
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
Applicants must have working rights in Australia and be able to work on site in Kensington
Preferred
Experience in digital twin development and application desirable
Knowledge of water treatment technologies and environmental processes preferred
Project management experience in large-scale industry projects desirable
Mandarin proficiency desirable for industry liaison
Benefits
17% superannuation
Annual leave loading
Company
UNSW
The University of New South Wales (UNSW) is one of Australia's leading research and teaching universities.
Funding
Current Stage
Late StageRecent News
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