Job advertisement No. 4/2020
The Leibniz Information Centre for Science and Technology - Technische Informationsbibliothek (TIB) - Program Area C, Research and Development, is looking to employ a
to work in the Team Research Data Services as of May 2020.
The position is initially limited to three years with envisioned extension. The regular weekly working time is 39.8 hours (full-time). The position is only suitable for part-time work to a limited extent. The remuneration is based on pay scale group 13 TV-L.
The position is part of the third-party funded project DiASPora (Digital Approaches for the Synthesis of Poorly Accessible Biodiversity Information). The project will establish an approach for synthesizing information for bacterial species by applying state-of-the-art data science methodology. Data will be transformed into a machine readable and processable format and will be used to establish a knowledge graph to generate innovative search options for the discovery of hidden data relationships.
Your competence area should be squarely rooted in software/ontology engineering or related fields. You should be able to think creatively, grasp new knowledge quickly, be able to design and develop innovative software systems and be interested in mastering complex challenges.
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 Research Center L3S of Leibniz University Hannover - the L3S is one of the world's leading research institutes in the fields of Web & Data Science. Last but not least, we attach great importance to an open and creative working atmosphere in which it is fun to work.
If you are interested, questions regarding the position can be addressed to Dr. Angelina Kraft, Head of Team Research Data Services, by mail at Angelina.Kraft@tib.eu.
To submit your application, please click here.
Paper applications are also possible on an equal basis. In this case, please send your complete application documents with the subject 4/2020 before February 10, 2020 addressed to
Technische Informationsbibliothek (TIB)
Herrn Daniel Eilers
Welfengarten 1 B
or alternatively as a single PDF document file to firstname.lastname@example.org. For applications in digital from, please send a PDF file with a maximum size of 10 MB.
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:
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. It wants to promote equal career opportunities for women and men in particular and therefore urges qualified women to apply.
Severely disabled candidates with comparable qualifications will be given preferential treatment.
Please note that your application documents will not be returned and application and travel costs cannot be reimbursed.
For more information about the TIB, please visit: www.tib.eu/en/
We look forward to receiving your application!Mehr
|Titel||Research Software/Ontology Engineer (m/f/d)|
|Employer||Technische Informationsbibliothek (TIB) – Leibniz-Informationszentrum Technik und Naturwissenschaften und Universitätsbibliothek|
|Job location||Welfengarten 1 B, 30167 Hannover|
|Veröffentlicht||Januar 14, 2020|
|Bewerbungsschluss||Februar 10, 2020|
|Fachbereiche||Informationswissenschaften,   Algorithmen,   Bioinformatik,   Mikrobiologie,   Data-Mining,   Programmiersprachen,   Softwareentwicklung,   Softwaredesign,   Semantik,    and 2 more. Maschinelles Lernen,   Bakteriologie  |