The University of Oulu is a multidisciplinary, international research university, with about 3,600 employees who produce new knowledge based on high-standards research and provide research based education to build a more sustainable, smarter, and more humane world. The University of Oulu community has about 17,000 people in total. Our northern scientific community operates globally and creates conditions for the emergence of innovations.
We are now looking for

ABOUT THE JOB

We are looking for a data scientist to collect, process and analyze versatile and big geospatial and socio-economic quantitative and qualitative datasets in collaboration with the FRONT team. The data sources include e.g., participatory GIS, surveys, interviews, Earth observation, social media, mobile sensors, statistics, and text masses. The methods and tasks can consist e.g., of geospatial and statistical analysis, machine and deep learning, data and text mining, and database management, including GDPR related processes.
You are particularly expected to contribute to inter- and transdisciplinary environmental and resilience research that has an emphasis on social and human sciences and environmental studies. We are particularly focusing on social and social-ecological resilience, both in urban and rural areas. You will mainly provide data management, processing and analysis support for our ongoing and planned new research projects, but there is also a possibility to develop your research foci related to the core areas of the FRONT research programme. We are, for instance, interested (1) in developing novel approaches to integrate various environmental and social data sources and analysis methods, (2) in developing solutions and applications to collect volunteered or participatory geospatial data (e.g. citizen science), and (3) in using quantitative survey data (cross sectional and longitudinal) to do advanced statistical analyses, for example, structural equation modeling, latent profile analysis, and social network analysis.
You should have a proven track record in high-quality scientific publishing as well as processing and analyzing big geospatial, socio-economic and other datasets. We are looking for a data-oriented problem solver and a team player that has a strong motivation and capability to co-work with researchers from various backgrounds and disciplines. You are expected to have expertise in different data science tools, coding languages and processing environments (e.g., R, Python and SQL).

QUALIFICATIONS

• You are required to have a PhD degree in data science, geoinformatics, computer science, statistics, or another relevant field. The doctoral degree must be obtained no more than 10 years ago.
• You should have a good understanding of social and human sciences and environmental research.
• You should have solid knowledge of working with large geospatial datasets
• You should have experience in programming languages like R or Python
• You should have sufficient relevant experience in international scientific work and evidence of international cooperation.

Please refer the Job description for details