Raj Prasanna
Closing soon
2 weeks ago
PhD in Hybrid Instrument Networks for Earthquake Early Warning Massey University in New Zealand
Degree Level
PhD
Field of study
Computer Science
Funding
Full funding availableDeadline
Jul 31, 2026
Country
New Zealand
University
Massey University

How do I apply for this?
Sign in for free to reveal details, requirements, and source links.
Apply for this position
Keywords
About this position
PhD opportunity at the Joint Centre for Disaster Research, Massey University (Wellington), in collaboration with Earth Sciences New Zealand.
The project focuses on next-generation Hybrid Instrument Networks for Earthquake Early Warning (EEW) in Aotearoa New Zealand. The successful candidate will contribute to research on hybrid observatory-grade and low-cost seismic sensor networks, exploring and evaluating novel EEW methods for more resilient, scalable, and affordable warning systems.
This PhD is part of the MBIE Endeavour-funded Next Generation Warning (RCET-NEW) programme, which brings together national and international experts to deliver science solutions tailored to New Zealand’s tectonic and societal setting. The work builds on prior advances in real-time science and earthquake/tsunami rapid characterisation.
Funding is fully covered for 3 years and includes a scholarship of NZ$35,000 per year plus tuition fees. The position is based at Massey University in Wellington.
Applicants should have a strong background in electronics, mechatronics, telecommunications and network engineering, computer engineering/science, geophysics, or related disciplines. Interest in geohazard research, seismic sensing, and early warning technologies would be highly relevant.
Applications close on 31 July 2026, with a planned start date in November 2026. More information and application instructions are available via the provided link.
Funding details
Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.
How to apply
Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.
More information can be found here
Ask ApplyKite AI
Professors

How do I apply for this?
Sign in for free to reveal details, requirements, and source links.