We are currently looking for a PhD intern with a strong passion for machine learning and GIS to participate in a four-month project centred around flood prediction in Africa. The intern will become an integral part of our dynamic research team, aiming to actively contribute to the advancement of a sophisticated flood forecasting system. This involves harnessing diverse data sources and integrating machine learning models into the development process.

Responsibilities

• 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.