Data Scientist Biodiversity Informatics | Oslo, Østlandet, Norway | University of Oslo

Position:	Data Scientist Biodiversity Informatics
Institution:	University of Oslo
Location:	Oslo, Østlandet, Norway
Duties:	The appointed candidate will take part in a multinational team for delivering the responsibilities of UiO for the Horizon Europe-funded Biodiversity Twin (BioDT) project and be responsible for working with biodiversity information standards for the content data streams in collaboration with project partners and international standards bodies. BioDT’s objective is to create a first-in-class digital twin prototype for the advanced modeling and prediction of biodiversity and its patterns. Through practical user cases, it will address critical issues related to global biodiversity dynamics, and support science-based decision-making for the protection and restoration of our earth’s biodiversity
Requirements:	A Ph.D. or an equivalent doctoral degree in data science, biodiversity informatics, ecoinformatics, natural sciences, or a related field; Experience with biodiversity informatics, data science, FAIR data principles, open science, persistent identifier technologies, and open data stewardship; A relevant scientific publication record; Excellent English language skills (written and spoken)

Text:	Data Scientist Biodiversity Informatics The appointed candidate will take part in a multinational team for delivering the responsibilities of UiO for the Horizon Europe-funded Biodiversity Twin (BioDT) project and be responsible for working with biodiversity information standards for the content data streams in collaboration with project partners and international standards bodies. BioDT’s objective is to create a first-in-class digital twin prototype for the advanced modeling and prediction of biodiversity and its patterns. Through practical user cases, it will address critical issues related to global biodiversity dynamics, and support science-based decision-making for the protection and restoration of our earth’s biodiversity A Ph.D. or an equivalent doctoral degree in data science, biodiversity informatics, ecoinformatics, natural sciences, or a related field; Experience with biodiversity informatics, data science, FAIR data principles, open science, persistent identifier technologies, and open data stewardship; A relevant scientific publication record; Excellent English language skills (written and spoken)