Machine Learning for Geospatial Analysis - PhD Research: Internship Opportunities

Employment type: Internship

• To be able to work independently and conduct high-quality research under the mentorship of a senior researcher within MARI.
• Evaluate and experiment with various machine learning models, frameworks, and techniques to build a flood prediction model.
• To collaborate successfully with MARI researchers, other interns, PhD students, post docs, professors, and industry partners to produce outstanding research.
• To contribute to a high-quality publication in a top peer reviewed journal or conference.
• Communicate research findings through presentations and engaging with the academic and research communities.

Qualifications
Required/Minimum Qualifications:

• Must be currently enrolled in, or recently completed a PhD in Machine Learning, Computer Science, Geospatial analytics, or a related STEM field.
• Must have at least 2 years of experience with modelling in Python.
• Must have at least 2 years of experience with machine learning models.

Other Requirements

• Experience working with satellite imagery data and geospatial analysis.
• Excellent communication skills to effectively collaborate with multidisciplinary teams.