Job advertisement No. 55/2021

Research Associates/PhD Candidates (m/f/d)

As the German National Library of Science and Technology our future-oriented services ensure the infrastructural requirements for a high-quality supply of information and literature for research in science and industry. Our services as a university library secure the local supply for the Leibniz University Hannover.

The Technische Informationsbibliothek (TIB) – Leibniz Information Centre for Science and Technology – Program Area C, Research and Development, is looking to employ two

Research Associates/PhD Candidates (m/f/d)

to work in diverse research projects of the Scientific Data Management Group (Prof. Dr. Maria-Esther Vidal) at the earliest possible opportunity.

The positions are initially limited to three years with envisioned extension. The working time is 75 % of the regular weekly working time (part-time, 29.85 weekly hours). The remuneration is based on pay scale group 13 TV-L.

Your challenge
The positions are part of a research project called “A Framework for Knowledge Graphs based on Semantic Integration, Representation, and Curation of Scientific Data to enable Trustable and Interpretable Knowledge Exploration and Discovery (TrustKG)” funded by the Leibniz Association.

Research projects around the world produce a tide of data every day. The potential lies primarily in connecting the pieces of information and extends far beyond the individual project results. TrustKG will develop computational methods for transforming biomedical data into semantically rich and linked knowledge graphs. These methods will enable interpretable large-scale data integration to empower Artificial Intelligence with semantic descriptions and transparency. The project will use these computational tools as building blocks for supporting individual treatment approaches in lung and breast cancer, and Covid-19 patients.

Possible PhD topics include (but are not limited to)

  • Scientific Data Management - requires demonstrated, rigorous knowledge of data management (relational databases, SQL, graph databases, XML, RDF) and strong experience in techniques for knowledge graph creation.
  • Knowledge representation, logic databases, and causality models.
  • Natural Language Processing to transform textual material into knowledge graphs, this requires solid knowledge and experience in techniques of entity and relational recognition and for linking to existing knowledge graphs (e.g. DBpedia and Wikidata).
  • Semantic Data Integration - requires solid background in knowledge extraction using natural language processing, as well as knowledge representation, curation, and semantic mapping rules. 
  • Query Processing - requires demonstrated experience in formal database query languages, foundations of query processing, and novel technologies for scaling up to large databases.
  • Research Data Containers - requires demonstrated, rigorous knowledge of data management and virtualization techniques (Docker).
  • Knowledge Graph Management - requires good background on formalisms for knowledge representation in knowledge graphs and semantic data management technologies.

Your qualities

  • Successfully completed university degree (Master or comparable) in a relevant field of study like Computer Science, Data Science, Mathematics or Information Science.
  • Interest in mastering and solving problems of scientific data management in areas like biomedicine.
  • Proficiency in spoken and written English. Proficiency in German is a plus.
  • Excellent proficiency in Semantic Technologies, Databases, Knowledge Graphs, Natural Language Processing, Data Analytics and/or Biomedicine.
  • Excellent proficiency in modern programming languages and modern software engineering methodologies, and managing servers. Proven team software development skills.
  • Interest in mastering and applying computational formal models.

What we offer
In TIB’s Research and Development Department, you have the opportunity to further your scientific development in a dynamic and excellent research environment. We provide a scientifically and intellectually inspiring environment with an entrepreneurial mindset embedded in a leading technical university and one of the largest technical information centres being part of the Leibniz Association.

The research department at the TIB is relatively young and offers many opportunities. It is our vision to rethink the representation and provision of data and information and to organize them in an Open Research Knowledge Graph (ORKG) in the future. There is a close cooperation with the L3S Research Centre at Leibniz University Hannover, one of the world's leading research institutes in the field of Web & Data Science, within the Leibniz Joint Lab Data Science & Open Knowledge.

Last but not least, we attach great importance to an open and creative working atmosphere in which it is fun to work.

Furthermore, we offer

  • Financing for necessary equipment, conference and research visit travel
  • The successful candidate will work in the context of a national, European or international research and innovation project
  • A portfolio of technology components to build on in the area of Life Sciences, including SDM-RDF, FALCON, Medical Knowledge Graph, ORKG, TIB AV-Portal, and other
  • A modern workplace in a central location of Hanover with a collegial, attractive and versatile working environment
  • Comprehensive and intensive training in an interesting, varied and future-oriented field of activity with a focus on the common good
  • Flexible working hours (flexitime) as well as offers for reconciling work and family life such as mobile work and remote work options
  • An employer with a wide range of internal and external further education and training measures, workplace health promotion and a supplementary pension scheme for the public sector (VBL)
  • Discount for employees in the canteens of the Studentenwerk Hannover as well as the possibility to use the various offers of the University Sports Hannover
  • A job in the public service with a salary in pay scale group 13 TV-L (75%) according to the provisions of the collective agreement for the public service in Germany (TV-L), including a special annual payment

If you are interested, questions regarding the position can be addressed to Prof. Dr. Maria-Esther Vidal, head of the Scientific Data Management Group, by mail at Maria.Vidaltibeu.

How to apply
We look forward to receiving your application.

Click here to apply

Paper applications are also possible on an equal basis. In this case, please send your complete application documents with the subject 55/2021 before August 15, 2021 addressed to

Technische Informationsbibliothek (TIB)
Herrn Daniel Eilers
Welfengarten 1 B
30167 Hannover

or alternatively as a single PDF document file to Bewerbungtibeu. For applications in digital from, please send a PDF file with a maximum size of 10 MB.

Who we are
TIB, being part of the Leibniz Research Association, is with around 550 employees one of the largest technical information centres in Germany, having three main functions:

  1. Acting in the capacity of the Leibniz Information Centre for Science and Technology, our forward-looking services secure the infrastructural requirements for providing researchers in science and industry with high-quality information and literature.
  2. Carrying out cutting edge research to further expand TIB’s role as a German information centre for the digitisation of science and technology.
  3. Offer library services for the Leibniz University Hannover.

TIB is an equal opportunity employer, providing ideal working conditions, and continuously taking action to enable its employees to combine career interests with family life.

Severely disabled candidates with comparable qualifications will be given preferential treatment. We welcome applications from all nationalities.

Please note that your application documents will not be returned and application and travel costs cannot be reimbursed.

Please indicate in the subject line of your application through which job board you became aware of our offer.