Job advertisement No. 31/2022

Research Associate/PhD Candidate “Computer Science: Natural Language Processing & Semantic Web Technologies” (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. With the Open Research Knowledge Graph (ORKG), we are working to revolutionise the exchange and use of scientific knowledge in the digital age.

The Technische Informationsbibliothek (TIB) – Leibniz Information Centre for Science and Technology – Program Area C, Research and Development, is – subject to the final approval by the third-party funding agency – looking to employ a

Research Associate/PhD Candidate “Computer Science: Natural Language Processing & Semantic Web Technologies” (m/f/d)

to work in the Data Science & Digital Libraries Research Group (Prof. Dr. Sören Auer) at the next possible date.

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 suitable for part-time work only to a limited extend. The remuneration is based on pay scale group 13 TV-L.

Your challenge
The PhD topics will be in the context of the Open Research Knowledge Graph (https://www.orkg.org) and the project “SCINEXT - Neural-Symbolic Scholarly Innovation Extraction”, funded by the Federal Ministry of Education and Research (BMBF). The aim of these projects is to research and develop techniques for crowdsourcing, representing and managing semantically structured, rich representations of scholarly contributions and research data in knowledge graphs and thus develop a novel model for scholarly communication. In the context of the PhD thesis you will be responsible for building and maintaining the ORKG data ingestion and processing pipelines to ensure the flow of high-quality semantified resources from publications. Your main responsibility in this position will be to build scalable solutions that crawl, ingest, process publications, and thereby enrich the ORKG. You will work alongside the ORKG engineering team to setup the AI/NLP ecosphere.

Your tasks will focus on

  • Working in the areas of Natural Language Processing (text mining, information extraction, information retrieval/search) and Machine Learning of scholarly communication media (digital) data.
  • Identifying and implementing the tools and algorithms appropriate for Natural Language Processing assignments to enhance the Natural Language Processing system currently in place.
  • Conceptually designing, modeling, and implementing data-driven services for information retrieval and extraction, data enrichment, and linking of data.
  • Carrying out evaluation experiments and training the developed model.

Your qualities
Your competence area should be squarely rooted in software engineering or related fields. You should be able to think creatively, grasp new knowledge quickly, be able to design and develop innovative software systems as well as be interested in mastering complex challenges. You will be responsible for developing innovative and mature information services for the TIB stakeholders in Science and Technology.

Requirements

  • Successfully completed university degree (Master’s degree or comparable) in a relevant field of study such as Computer Science, Mathematics or Information Science.
  • Advanced understanding of NLP techniques and practical experience with at least one of the following: information extraction, information retrieval, topic modeling, text summarization.
  • Strong experience with Python, Machine Learning (PyTorch, Tensorflow, Keras, scikit-learn), and NLP (SpaCy, Huggingface, NLTK, gensim, etc.) frameworks/libraries. Proven team software development skills.
  • Research and technology interest in Artificial Intelligence, Machine Learning, Knowledge Representation and Reasoning, Data Management, Semantic Technologies, Web Engineering, Natural Language Processing or User Interaction.
  • Interest in digital libraries, research data management and scholarly communication as application domains and a passion for mastering and applying formal methods.
  • Proficiency in spoken and written English and excellent communication skills. Proficiency in German is a plus.

Desirable additions to your profile

  • Experience with search engine software libraries (Lucene, Solr, ElasticSearch, Jina.AI, Haystack, etc.).
  • Experience with language generation and/or knowledge graphs in NLP applications.
  • Basic understanding of data structures, algorithms, and their complexities.
  • Publications in respected NLP/ML venues.
  • Ability to code and design software architectures.
  • Experience with developing web services (Tornado, Flask, FastAPI, etc.).
  • Experience with Git.

What we offer
Our mission is to keep rethinking and innovating the provision and use of research data and information. In TIB’s Research and Development Department, you have the opportunity to advance your career in a sizable, dynamic and excellent 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. TIB collaborates closely 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, creative and fun work atmosphere.

Furthermore, we offer

  • Financing for necessary equipment, conference and research visit travel
  • Work in the context of national and international research and innovation projects
  • A portfolio of technology components, including ORKG, OpenResearch.org, TIB AV-Portal, DBpedia.org, among others
  • A modern workplace in a central location of Hanover with a collegial, attractive and versatile working environment
  • A comprehensive and in-depth training
  • 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 oriented towards the common good with 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), including a special annual payment and 30 days of vacation per year

If you are interested, questions regarding the position can be addressed to Dr. Jennifer D’Souza by mail at Jennifer.DSouzatibeu.

How to apply
We look forward to receiving your application.

Click here to supply

Paper applications are also possible on an equal basis. In this case, please send your complete application documents with the subject 31/2022 before June 21, 2022 addressed to

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

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.

In the case of foreign university degrees, it is mandatory to submit a Statement of Comparability from the Central Office for Foreign Education (ZAB) for the final assessment of the hiring requirements during the hiring process (link for more information). A fee will be charged for this. This obligation does not apply if the foreign university degree has already been assessed by an expert and is listed in the ANABIN database of the ZAB as an equivalent university degree (link to ANABIN database).

Who we are
TIB, being part of the Leibniz Research Association, is with around 600 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.

View this job advertisement as a PDF.

Feedback