Technische Informationsbibliothek (TIB) - Program Area C, Research and Development
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.
Research Associate/PhD Candidate (m/f/d)
Possible PhD topics include (but are not limited to)
Scientific Data Management - Semantic Data Lakes for Science - requires demonstrated, rigorous knowledge of data management (relational databases, SQL, graph databases, XML, RDF) and good knowledge of Big Data technologies
Semantic Data Integration - requires solid background in knowledge extraction using natural language processing and image processing, as well as knowledge representation, curation and semantic integration
Query Processing - requires demonstrated experience in formal database query languages, foundations of query processing and novel technologies for scaling up to Big data
Machine Learning - requires solid experience in Artificial Intelligence and state-of-the-art machine learning paradigms
Research Data Containers - requires demonstrated, rigorous knowledge of data management and virtualization techniques (Docker)
Semantic Scholarly Communication - requires good knowledge of semantic knowledge representation of scientific literature
Knowledge Graph Management - requires good background on formalisms for knowledge representation in knowledge graphs and semantic data management technologies
Question Answering Infrastructures - requires excellent software architecture skills, interest in semantic technologies and natural language processing
Successfully completed university degree (Master or comparable) in a relevant field like Computer Science, Mathematics or Information Science
Interest in mastering and solving problems of scientific data management in areas like biomedicine, genomics and immunologics
Proficiency in spoken and written English; Proficiency in German is a plus
Excellent proficiency in modern programming languages and modern software engineering methodologies; Proven team software development skills
Interest in mastering and applying computational formal models
Familiarity with Semantic Technologies, Big Data Management, Databases, Knowledge Graphs, Natural Language Processing, Artificial Intelligence, Data Analytics, Life Sciences
What we offer:
The Leibniz Information Centre for Science and Technology - Technische Informationsbibliothek (TIB) - Program Area C, Research and Development, is looking to employ a
Research Associate / PhD Candidate (m/f/d)
to work in diverse research projects of the Scientific Data Management Group under supervision of Prof. (Univ. Simón Bolívar) Dr. Maria-Esther Vidal at the earliest possible date.
The position is limited to 3 years with envisioned extension. The regular weekly working time is 29.85 hours (part-time, 75%). The remuneration is based on pay scale group 13 TV-L.
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 of business trips, the necessary technical equipment and conference and research stays
Work in the context of a European research and innovation project
A modern workplace in a central location of Hanover with a collegial, attractive and versatile working environment
Flexible working hours (flexitime) as well as offers for reconciling work and family life, such as mobile work, home office 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 salary in pay scale group 13 TV-L according to the provisions of the collective agreement for the public service in Germany (TV-L)
If you are interested, questions regarding the position can be addressed to Prof. (Univ. Simón Bolívar) Dr. Maria-Esther Vidal, head of Scientific Data Management Group, by mail at email@example.com.
How to apply:
We look forward to receiving your application. To submit your application, please use the online application form on our homepage.
Paper applications are also possible on an equal basis. In this case, please send your complete application documents with the subject 36/2020 before September 8, 2020 addressed to the given address 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 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.
Please note that your application documents will not be returned and application and travel costs cannot be reimbursed.