
Postdoctoral Research Fellow in Data Science and Environmental Studies
5 days ago
We are seeking an experienced data scientist to join our team of researchers focused on environmental and resilience research. As a data scientist, you will collect, process, and analyze large datasets from various sources, including participatory GIS, surveys, interviews, Earth observation, social media, mobile sensors, statistics, and text masses. Your responsibilities will include developing novel approaches to integrate various environmental and social data sources and analysis methods, developing solutions and applications to collect volunteered or participatory geospatial data, and using quantitative survey data to conduct advanced statistical analyses.
About the Job
This is a fixed-term contract for 3.5 years, starting as agreed, at the latest on 1st of August 2025. The salary for the postdoctoral researcher will be based on levels 5-6 of the demand level chart for teaching and research staff of Finnish universities. Additionally, a salary component based on personal work performance will be paid (a maximum of 50% of the job-specific component). The starting gross salary will be approximately 3700-4200 € for the postdoctoral researcher and 4300-5500 € for the senior research fellow per month (before taxes).
Responsibilities
You will provide data management, processing, and analysis support for ongoing and planned research projects, with the possibility to develop your research foci related to the core areas of the FRONT research program. You will work closely with researchers from various backgrounds and disciplines, contributing to the development of research projects and advancing your own research foci. You should have a proven track record in high-quality scientific publishing, experience working with large datasets, and expertise in different data science tools, coding languages, and processing environments.
Qualifications
To be considered for this position, you must have a PhD degree in data science, geoinformatics, computer science, statistics, or another relevant field. You should have good understanding of social and human sciences and environmental research, solid knowledge of working with large geospatial datasets, experience in programming languages like R or Python, and sufficient relevant experience in international scientific work and evidence of international cooperation.
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