h3About /h3 pPAGES (Past Global Changes) is an international paleoscience network whose International Project Office is hosted by the University of Bern. 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. /p ul liData science support to PAGES working groups (curation, harmonisation, ML/AI) /li liManagement of the Data Stewardship Scholarship /li liCo-editor of Past Global Changes Magazine and Horizons /li liContribution to publications (working groups and own research) /li liCoordination/reporting on international activities; PAGES representation /li /ul h3About /h3 pPAGES (Past Global Changes) is an international paleoscience network whose International Project Office is hosted by the University of Bern. 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. /p h3Your tasks /h3 ul liData science support to PAGES working groups (curation, harmonisation, ML/AI) /li liManagement of the Data Stewardship Scholarship /li liData curation, FAIR/LiPD standards, repository liaison /li liCo-editor of Past Global Changes Magazine and Horizons /li liContribution to publications (working groups and own research) /li liCoordination/reporting on international activities; PAGES representation /li /ul h3Your profile /h3 ul liPhD in paleoscience, data science, statistics or a computational field /li liStrong R/Python skills; version control and reproducible workflows /li liExperience with large, heterogeneous proxy/geological databases /li liSkilled at handling incomplete, noisy or unevenly sampled time series /li liExcellent communication skills; explains methods to non-specialists /li liExcellent written/spoken English (German useful, not required) /li liBeneficial: PANGAEA/NOAA/Neotoma, LiPD, age-depth modeling, Adobe Creative Suite /li /ul h3Your Benefits /h3 ul liInterdisciplinary collaboration /li liHealthy corporate culture and good working atmosphere /li liTeam-oriented work /li liCentral location in the heart of Bern /li /ul #J-18808-Ljbffr
Data Science Officer Arbeitgeber: Be
Als Arbeitgeber bieten wir Ihnen die Möglichkeit, in einem dynamischen und unterstützenden Umfeld zu arbeiten, das auf Innovation und Teamarbeit setzt. Unsere zentrale Lage ermöglicht es Ihnen, an spannenden Projekten zu arbeiten, während Sie von einer hervorragenden Work-Life-Balance, fairen Vergütungen und umfangreichen Sozialleistungen profitieren. Bei uns haben Sie die Chance, Ihre Fähigkeiten weiterzuentwickeln und aktiv zur Optimierung unserer Produkte beizutragen.
