Data Analytics in Environmental Applications

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Description of Research Project

The project is aimed at application of data analytics in environmental studies, particularly, climate change, extreme weather events, and their impact on social, economic and ecological systems. The project targets to accelerate the discovery of new knowledge and data sources on the climate change and ecosystem services. For that purpose, it is proposed to design and implement a pipeline that incorporates the necessary modules for a data-driven, accurate and effective supply of required data and forecasting. An emphasis will be made on real environmental issues and their effect on the economy and society. Furthermore, global climate change is predicted to alter ecosystems and their services which, in turn, will cause various additional losses. The proposed project will be using data analytic approaches, AI, ML, RSD and GIS applications, and visualization tools and techniques to address said research issues.

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Undergraduate Student Responsibilities

A student will interact with the supervisor and participate in various aspects of the project, including bibliographical studies, investigation and application of necessary theoretical concepts. The student will use a computer to work with the research searching engines (Google Scholar, Scopus, Web of Science), to implement data pre-processing, analysis and visualization based on standard techniques and, if required, develop new algorithms.

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Qualifications Required

• Desire to learn and develop new skills is a must
• Ability to work with databases and large data sets, big data analytics, information visualization
• Interest in applied research, ability to write computer code and use software to run computational experiments
• Experience with data analytics, AI, ML, RSD and GIS, understanding of climate change issues and extreme weather events, ecosystem functioning and ecosystem services will be considered as an asset