Course paper / final thesis, Student placement

Support in the area of scientific metadata collection

Starting date

1 December 2023

Duration of contract

6 months


by arrangement

Type of employment


At the DLR Institute for Data Science in Jena, innovative methods for the semantic description of data and services based on this are developed in the "Metadata Management" working group. In particular, knowledge graphs and ontologies are used, which allow even complex relationships to be described in a machine-understandable way. The work takes place in close cooperation with experts from different domains.

We offer you the opportunity to carry out a thesis, a mandatory internship or a student job in the field of scientific (meta-)data collection for experimental research domains and their application in data management. As part of an international team, you will develop methods and software solutions for the data management systems of tomorrow. You will analyse and develop your own methods, software or models with a focus on improving research data management in scientific environments where scientists collect (meta)data during their daily work, e.g. during modern laboratory experiments. Possible topics range from the evaluation of existing solutions under different conditions to data preparation/generation and the improvement or development of ready-to-use components for scientists. One of the important topics is the use of speech recognition and natural language processing (NLP) for scientific (meta-)data management in the context of the digitization of scientific domains.

Your tasks include in particular:

  • literature research with the aim of critically evaluating and comparing new methods and approaches
  • analysis of basic requirements for the management of laboratory data with the help of speech recognition
  • knowledge modeling to improve the collection and description of scientific data
  • software implementation of own or predefined methods
  • evaluation and assessment of the results
  • testing and documentation of the work

Within the framework of a student assistant activity, you will perform your work to an extent of up to 20 hours/week.

Your qualifications:

  • ongoing studies in computer science, mathematics, physics, astronomy
  • (Bachelor/Master) or another field of study with substantial computer science
  • components
  • good knowledge of English- interest in independent and practical work
  • sound programming skills (Python, Java, C/C++, or similar)
  • knowledge of and interest in NLP and speech recognition is an advantage

Your benefits:

Look forward to a fulfilling job with an employer who appreciates your commitment and supports your personal and professional development. Our unique infrastructure offers you a working environment in which you have unparalleled scope to develop your creative ideas and accomplish your professional objectives. Our human resources policy places great value on a healthy family and work-life-balance as well as equal opportunities for persons of all genders (f/m/x). Individuals with disabilities will be given preferential consideration in the event their qualifications are equivalent to those of other candidates.

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Technical contact

Marta Dembska
Institute for Data Science

Phone: +49 3641 30960-167

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Vacancy 90253

HR department Berlin

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DLR site Jena

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DLR Institute of Data Science

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