New Data Mining Methods for Geospatial Big Data

Description

A PhD position is available at the Department of Geomatics Sciences of Laval University. During his project, the student will design and develop new software solutions to process and analyse big geospatial data. These solutions will be based on the most recent innovations in big data, artificial intelligence (i.e. machine learning) and data mining techniques.

This PhD project is part of a larger research project funded by the Sentinel North Strategy, itself supported by the federal government's Canada First Research Excellence Fund. The main objective of this research project is to understand how the disruption of ecosystems affects microorganisms in Arctic soils. The project will use a microbial in situ culture system, called Ecochip, for measuring the growth of microorganisms in their natural environment that also enables acquiring and transmitting real-time environmental metadata. The PhD candidate will join the research team responsible for the development of innovative approaches to analyse the huge amount of data stemming from EcoChips, but also from other data sources (winds, temperatures, pollutions, humidity, imagery, etc.). These tools will enable the research team to evaluate the impact of environmental changes in the North and effectively add value to the microorganisms found in these environments, which will greatly improve our understanding of the changes occurring in the Northern environments and their impact on human health.

Requirements and Conditions

We are looking for a candidate with a background in computer science or in geomatics, with skills in software development. The candidate should also have interest for data analysis and data mining methods, for machine learning and for geospatial applications.