PhD student/Researcher Data Science & Natural Language Processing
GESIS Leibniz-Institut für Sozialwissenschaften
GESIS – Leibniz Institute for the Social Sciences is an internationally active research institute, funded by federal and state governments and member of the Leibniz Association.
For the next possible date our Department Knowledge Technologies for the Social Sciences (KTS), Team Information and Data Retrieval located in Cologne, is looking for a
Data Science & Natural Language Processing
(Salary group 13 TV-L, working time 75%, limited to 31.12.2024)
The department Knowledge Technologies for the Social Sciences (KTS) conducts research at the intersection of information retrieval, natural language processing, semantic technologies and human information interaction as foundation for innovative web portals and platforms for the search and use of research data. KTS innovations are based on a state-of-the-art software stack and research-based innovations in the aforementioned fields.
In the context of the BMBF funded project “KB Mining”, the position develops innovative integrated services based on large-scale bibliometric data sources. Among others, the goal is to disambiguate and link entities of various types in order to improve search in - and reusability of - bibliographic data by improving the research network
Competence Centre for Bibliometrics.
Your tasks will be:
Applied research in fields such as Information Retrieval, record linking, Natural Language Processing, Machine Learning, Knowledge Graphs - with the aim to disambiguate information (in particular author mentions) in large document collections such as Web of Science and Scopus
Design and implementation of further services such as Named Entity Recognition and automated linking against web vocabularies
Summarization, publication and presentation of project results
Development of research prototypes and transfer of research outcomes into GESIS portals
GESIS offers an exciting work environment for interdisciplinary research at the interface between the social sciences and computer science. As an infrastructure institution, we promote social science research and cooperate with renowned international research institutes.
GESIS supports your career development. We offer a wide range of career opportunities in an attractive and rewarding work environment that allows you to carry out your tasks in a creative and autonomous manner. You will work in an international environment in the heart of Cologne and benefit from our flexible working conditions as well as our extensive internal and external networks.
GESIS is an equal opportunity employer and adheres to disability regulations.
We are a family-friendly employer and have been certified by the audit Work&Family since 2010.
Cooperation and exchange with partners in the Competence Centre for Bibliometrics and other relevant communities (e.g. information retrieval, extraction and linking, as well as research data management)
Good university degree (master's/diploma or equivalent) in computer science, data science or a comparable subject
Good expertise in the areas of semantic technologies, retrieval evaluation, knowledge graphs
Good knowledge of English, verbal and written communication skills in German
A fast growing and international working environment with access to unique datasets
Excellent career opportunities software development and data engineering
Flexible working hours and the possibility of up to 60% mobile working within Germany
Very good conditions for reconciling work and family life, e.g. subsidies for childcare for children who have not yet attained the age of compulsory schooling
Holistic company health management and discounted participation in the university's sports programme
Generous support for your pension provision as a direct insurance policy
Promotion of your skills through further training measures