As the PAGES community's in-house data scientist, you support working groups in curating, harmonising and analysing paleoscience datasets, and help build the network's products, publications and outreach.
Aufgaben
Data science support to PAGES working groups (curation, harmonisation, ML/AI)
Management of the Data Stewardship Scholarship
Data curation, FAIR/LiPD standards, repository liaison
Co-editor of Past Global Changes Magazine and Horizons
Contribution to publications (working groups and own research)
Coordination/reporting on international activities; PAGES representation
Anforderungen
PhD in paleoscience, data science, statistics or a computational field
Strong R/Python skills; version control and reproducible workflows
Experience with large, heterogeneous proxy/geological databases
Skilled at handling incomplete, noisy or unevenly sampled time series
Excellent communication skills; explains methods to non-specialists
Excellent written/spoken English (German useful, not required)
Beneficial: PANGAEA/NOAA/Neotoma, LiPD, age-depth modeling, Adobe Creative Suite
Vorteile
Interdisciplinary collaboration
Healthy corporate culture and good working atmosphere
Team-oriented work
Central location in the heart of Bern
Unternehmen
UB
Universität Bern
Education
PAGES (Past Global Changes) is an international paleoscience network whose International Project Office is hosted by the University of Bern.
