CRISiSLab Webinar on Community Seismic Network & Earthquake Early Warning
October 12, 2021

Fully Funded PhD Scholarship in Geographic Information Retrieval/Machine Learning for Disaster Applications at Massey University

Research Areas:

  • Extraction of disaster impacts from text-based social media sources
  • Integrating the text data with sensor data and conventional geographic data sets using multi-modal data fusion
  • Exploring the use of this data in a question-answering system to support earthquake response

The project will be supervised by Dr Kristin Stock, Director of the Massey Geoinformatics Collaboratory and Senior Lecturer in Information Technology; and Dr Raj Prasanna, CRISiSLab Lead, and Senior Lecturer at Massey University.

The scholarship will provide a student stipend of $27,500 per annum plus tuition fees.

Requirements from applicants:

  • Meeting the University requirements for entry into the PhD programme, including a postgraduate degree in computer science, geospatial science with a strong computational element, or similar
  • A strong computer science background, with skills in deep learning and natural language processing
  • Skills in geographic information/geospatial science will be an advantage

How to apply:

Please submit your application by emailing the following documents to k.stock@massey.ac.nz:

  • CV
  • academic transcripts showing grades for all qualifications completed
  • a cover letter explaining why you are interested in and suitable for the position
  • details of three referees

Closing Date: 10th December 2021.

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