Potsdam-Institut für Klimafolgenforschung e.V. (PIK)pik-potsdam.de
Student assistant position in Information Science (m/f/d)
Location
Potsdam
Remote
On-site
Employment type
Part-time, Temporary Work
Experience
Junior
Field
Social Work & Pedagogy
Application deadline
Nov 23, 2026
Requirements at a glance
University enrollment (Required)
Research Data Management (Required)
Data quality concepts (Required)
English (Required)
German (Preferred)
RequiredPreferred
Today
Kurzinfo
Tätigkeitsfeld: Wissenschaft und Technik
Ort: Potsdam
Arbeitszeit: Teilzeit
Anstellungsdauer: Befristet
Bewerbungsfrist: 23.11.2026
Laufbahn / Entgeltgruppe: Einfacher Dienst
Kennziffer: 37-2026 SHK GOV4CARE
Tätigkeitsprofil:
Key responsibilities:
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
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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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