Postdoc (f/m/d) Research Data Management and Data Visualization / Completed university studies (P...

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Helmholtz Association of German Research Centres
Germany
EUR 40.000 - 60.000
Sei unter den ersten Bewerbenden.
Gestern
Jobbeschreibung

Area of research:

Scientific / postdoctoral posts


Starting date:

01.05.2025


Job description:

Postdoc (f/m/d) Research Data Management and Data Visualization

With cutting-edge research in the fields of ENERGY, HEALTH and MATTER, around 1,500 employees from more than 70 nations at Helmholtz-Zentrum Dresden-Rossendorf (HZDR) are committed to mastering the great challenges facing society today.

The Center for Advanced Systems Understanding (CASUS) is a German-Polish research center for data-intensive digital systems research.

The Department of Scientific Computing Core is looking for a Postdoc (f/m/d) Research Data Management and Data Visualization.

Your tasks

  1. Work with existing APIs for data access from various sources and design own APIs; combine different kinds of data such as sampled field data, geo-spatial data, and simulated model data.
  2. Design and extend data handling and data management solutions; based on this, design and implement procedures and workflows for the project.
  3. Adapt workflow systems and High Performance Computing for automated processing, then use the results to implement the automated data and model processing in the project.
  4. Track metadata from input data and from processing steps; storage and manage metadata in a structured way.
  5. Feed data from model simulation back to Edaphobase together with the relevant metadata and in the way Edaphobase expects them.
  6. Extend visualisation and interactive exploration in the Edaphobase web portal with a focus on exploring model predictions in combination with existing data.
  7. Present results at conferences and workshops, publish joint scientific papers, representation and presentation of the project, project reporting.

Your profile

  1. Completed university studies (PhD) in the field of Computer Science or a matching application area with a strong Computational Science focus; familiarity with Biodiversity Research, Macro-Ecology, Soil Ecology or related fields.
  2. Relevant professional experience in the specified area.
  3. Experience with Research Data Management in theory and practice.
  4. Familiarity with structured data formats and schemas (JSON or similar) and metadata handling, schemas, ontologies.
  5. Skills in web development, scientific visualization, interactive web GUIs are a plus.
  6. Practical experience in collaborative software development, git version control, gitlab, or similar; experience with git-annex or Datalad are a plus.
  7. Advanced programming skills in Python, Julia or similar and past contributions to research software projects; more programming languages or parallel programming skills are a plus.
  8. Good English language skills in a professional context, German language skills are a plus.

Our offer

  1. A vibrant research community in an open, diverse and international work environment.
  2. Scientific excellence and extensive professional networking opportunities.
  3. Salary and social benefits in accordance with the collective agreement for the public sector (TVöD-Bund) including 30 days of paid holiday leave, company pension scheme (VBL).
  4. We support a good work-life balance with the possibility of part-time employment, mobile working and flexible working hours.
  5. Numerous company health management offerings.
  6. Employee discounts with well-known providers via the platform Corporate Benefits.
  7. An employer subsidy for the "Deutschland-Ticket Jobticket".

We look forward to receiving your application documents (including cover letter, CV, diplomas/transcripts, etc.), which you can submit via our online-application-system.

This research center is part of the Helmholtz Association of German Research Centers. With more than 42,000 employees and an annual budget of over € 5 billion, the Helmholtz Association is Germany's largest scientific organisation.

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