Job-Nr. 82202009
PI

Stu­dent as­si­stant po­si­ti­on in In­for­ma­ti­on Science (m/f/d)

PIK vor 4 Tagen
Teilzeit
StandortPotsdam, Brandenburg
  • Research Data Management: Supporting project-wide Research Data Management (RDM), including the creation of tailored Data Management Plan (DMP) templates, metadata schemas, and the promotion of FAIR (Findable, Accessible, Interoperable, Reusable) data principles
  • Methodology Standardization: Assisting in the development of structured protocols, guidance documents, and standardized templates for identifying, documenting, and communicating uncertainty across project data, methods, and scenarios
  • Data Mapping: Helping map and systematically compare datasets, databases, and methodologies used for environmental impact assessment in healthcare across international project partners (e.g., Input–Output models and Life Cycle Assessment)
  • Helping align terminology, metadata, assumptions, and reporting practices to improve data interoperability and governance across diverse partner institutions
  • Metadata Management: Organizing, harmonizing, and maintaining project metadata and preparing background documentation for consortium meetings Anforderungsprofil: Requirements:
  • Educational Qualifications (B.Sc. or M.Sc. student, enrolled at a German university): Studies in Information Science / Library and Information Science, Data Science, Environmental Sciences, Statistics, or a related quantitative field
  • Skills in Research Data Management: Strong interest in or familiarity with Research Data Management (RDM), digital curation, metadata standards, and FAIR data principles
  • Familiarity with concepts of data quality: uncertainty quantification, sensitivity analysis, or statistical data documentation
  • Analytical Thinking: High attention to detail and structured thinking to help develop standardized data stewardship protocols to a large, multi-partner European project
  • Initiative: Strong motivation to contribute to Open Science, data governance, and transparent data infrastructure in healthcare sustainability research
  • Communication: Very good written and spoken English skills for drafting guidance documents and communicating with international consortium partners (German language skills are an asset)

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