This PhD position in the University of Canterbury will participate in a cutting-edge interdisciplinary research project, which focuses on characterizing the pressure signals generated by different water usage activities and using machine learning algorithms for identification. This research is funded by the prestigious Royal Society Marsden Fund, and the 3-year PhD scholarship offers 32k NZD stipends + tuition per year. In the project, you will work closely and supervised by prestigious academics in pipeline hydraulic and electronics, including Prof. Pedro Lee (top 0.1% researcher in the area), Chair Prof. Ross Murch (IEEE fellow) and Dr. Derek Li. Your research will involve comprehensive experiments, algorithm development and data processing.
- Academic background in electronics engineering, data science, computer science, mechanical engineering, civil engineering or physics
- Mastery in machine learning and/or signal processing
- Sophisticated programming skills
- Dedicated to experimental works
- Fluent in English communication and writing
- Candidates with research experience or publication record will be advantaged.
Express your interests through Email, email@example.com, with the following materials attached
- Personal CV (with referees)
Selected candidates will be interviewed and further assessed. First come first serve.
Starting date: No later than mid 2024, the earlier the better
Deadline: Jan 30, 2024