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Fully funded 3-year Ph.D. Position in Smart Water Technologies at the ΢��ҕ�l, New Zealand

Are you passionate about cutting-edge research on developing novel smart water technologies that can assess our daily water usage? Join us in exploring the limitless potential of using signal processing and machine learning technologies to transform our water supply infrastructure into a smart network.

Advancements in technology have opened new doors for innovative research in smart water technologies. At the ΢��ҕ�l, we are offering a fully funded 3-year Ph.D. position for candidates eager to contribute to the evolution of smart water technologies that can monitor and identify different water usage activities remotely using advanced machine learning and signal processing methods. This opportunity allows you to pursue your Ph.D. degree while making a real impact in the field of smart infrastructure.

Supervisors

is a senior lecturer at the Department of Civil and Natural Resources Engineering, ΢��ҕ�l (΢��ҕ�l). His interdisciplinary research interest involves pipeline hydraulics, acoustic signal processing, and smart water technology. In 2022, his research has been awarded the Karl Emil Hilgard Hydraulic Prize, the most prestigious international award in the field of hydraulics. In 2023, Dr. Li was awarded the Royal Society Marsden Fund Fast-start Grant, which provides the funding of this scholarship.

is a professor at the Department of Civil and Natural Resources Engineering in ΢��ҕ�l. His is also the associate Dean of the Engineering Faculty. His research interest involves pipeline hydraulics, fluid mechanics, and non-destructive testing. He has been working closely with industries for over a decade to apply smart technologies in the water sector. In 2022, He was awarded as the top 0.1% researcher in the field by Elsevier.

Key qualifications and skills

·         Background in Civil Engineering, Mechanical Engineering, Electronic Engineering, Acoustics, or related field.

·         Sophisticated machine learning and signal processing skills.

·         Laboratory or field experiment experiences.

·         Proficiency in programming skills (e.g., Python/MATLAB).

·         Peer-reviewed journal publications

·         Meeting English proficiency requirement of the ΢��ҕ�l: /study/getting-started/admission-and-enrolment/enrolment-topics/english-language-proficiency

Does the project come with funding

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•      Full scholarship (35k NZD) and tuition fees coverage for 3 years

•      World-class experimental facilities

•      World-leading supervisory team

•      International travel opportunities

Final date for receiving applications

Please note that the position may be filled as soon as a suitable candidate is found, so we encourage you to apply promptly.

Join us in shaping the future of smart water technologies. Apply now and be part of a transformative journey at the ΢��ҕ�l.

Keywords

Smart Water Technology, Civil Engineering, Mechanical Engineering, Electronic Engineering, Acoustics, Smart Infrastructure, Machine Learning, Signal Processing