Data Scientist: Linked Open Data and Marine - Bremerhaven, Deutschland - Helmholtz Association of German Research Centres
vor 2 Tagen
Beschreibung
Data Scientist:
Linked Open Data and Marine Biodiversity (M/F/d):
- Employer
- Helmholtz Association of German Research Centres
- Location
- Bremerhaven
- Closing date
- 9 Jul 2024
- Discipline
Job Type
Postdoctoral
Employment - Hours
Full time
Duration
Fixed term
Qualification
PhD
Sector
Academia- You need to sign in or create an account to a job.
- Job Details
- Company
Job Details:
Area of research:
Scientific / postdoctoral posts
Job description:
Data Scientist: Linked Open Data and Marine Biodiversity (M/F/d)
- Background
- The incumbent will work on three closely interrelated projects
- MARine COastal BiOdiversity Longterm Observations (MARCO-BOLO), BiOceanS5D, and Global cooperation on FAIR data policy and practice (WorldFAIR) with the overall objective to harmonise data and information flows within the digital framework of the UN Ocean Decade and the IODE of IOC-UNESCO.
- Tasks
- The incumbent will pursue and publish (in peerreviewed journals) data science research focused on the increasingly more interlinked, webactionable, and transparent ocean digital ecosystem that all the noted projects and initiatives contribute to.
- The research tasks will transfer the skills from ecological sciences to digital ecosystems, evaluating their (cyber)diversity, structure, and function in order to create a scientific basis for objectively characterising the state of the ocean's digital ecosystem.
- The results of this work will be used as a basis for further strategy development and implementation guidance, to engineer more robust and interoperable ocean digital ecosystems.
Requirements:
- PhD or equivalent experience in data science and/or informatics
- High fluency in core data science skills including:
- Data management, storage (e.g. in SQL relational databases, Triplestores, etc), harmonisation, and standardisation
- Programmatic data (re)formatting experience working with structured data on the web (e.g. JSON-LD, RDF)
- Access, use, and transformation of linked open data via, e.g., APIs, embedded (meta)data
- Developing webbased data exchanges across distributed systems
- Basic data analytics using statistical computing languages or packages (e.g. R, python)
- Ability to work with stakeholders from different disciplines and domains (academia, industry, policy, etc)
- Ability to represent AWI at project consortium meetings and international fora
- Ability to perform independent research within the frameworks of the deliverables
- Ability to assess and suggest optimisations for digital practices across diverse consortia
- Ability to develop, lead, and/or teach in training courses and capacity development processes including supervision/training of junior staff and collaborators
- Ability to work across distributed hardware including remote storage and computing systems
- Ability to lead or contribute to peerreviewed publications
- Ability to contribute to and support supervisors in project reporting, including (co)authoring project reports, deliverables, and when needed representing supervisors in official project meetings.
- Familiarity with UNIX / Linux based systems
- Excellent command of English.
Desirable skills and knowledge:
- Familiarity with biology, biodiversity, and/or ecological data and theory
- Fluency in metadata handling relevant to biodiversity / omic data and information products
- Experience with knowledge representation (KR) technologies and ontology development
- Experience using cloudbased systems
- The AWI is characterized by
- The AWI is characterized by
- collaboration and cooperation - intra-institute, national and international, interdisciplinary
- opportunities to develop - on the job and towards other positions
- an international environment - everyday contact with people from all over the world
- flexible working hours and the possibility of mobile working up to 50% of regular working hours
- health promotion and company fitness with EGYM Wellpass
- support services and a culture of reconciling work and family
- occupational pension provision (VBL)
Applicants with disabilities will be given preference when equal qualifications are present.
- The AWI fosters the compatibility of work and family in various ways and has received a number of awards as a result of this engagement.
Company:
The Helmholtz Association contributes to solving major challenges to assure the future of our society.
With more than 39,000 people on staff in 18 national research centres, the Helmholtz Association is Germany's largest scientific organization.
The name Helmholtz stands for concerted research in which networks form the key principl
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