Senior Researcher Natural Language Processing & Big Data (m/w/d)

  • Leibniz-Gemeinschaft
  • Mannheim, Germany
  • 13/05/2022
Full time Data Science Big Data Data Management Biostatistics DevOps

Job Description

Job Description

employment type
Temporary contract

Full job description


Senior Researcher Natural Language Processing & Big Data (m/f/d)

GESIS - Leibniz Institute for the Social Sciences (GESIS), Mannheim

GESIS - Leibniz Institute for the Social Sciences is an internationally active research institute, funded by the federal and state governments and a member of the Leibniz Association.

Our department Knowledge Technologies for the Social Sciences, Team Big Data Analytics based in Cologne is looking for a

Senior Researcher Natural Language Processing & Big Data (m/f/d)

(salary group 13 TV-L, working hours 100%, limited to four years, with the possibility of becoming permanent)

The Knowledge Technologies for the Social Sciences (KTS) department conducts research at the interface of information retrieval, natural language processing (NLP), human-machine interaction and machine learning as the basis for innovative web portals and platforms for searching and using research data.

GESIS is currently researching the use of big data with methods based on artificial intelligence to create new insights and infrastructures for the social sciences. Examples of this are methods of opinion mining, sentiment analysis or the classification of online behavior and interactions as observed in social web platforms and other data-intensive environments.

In this context, we offer the exciting opportunity to conduct excellent research and to develop innovative methods and infrastructures for mining and understanding heterogeneous web data. The focus is on methods from NLP and deep learning with a special focus on transparency, fairness and reproducibility of NLP methods.

Your area of ​​responsibility:

  • Research in areas such as web mining, information extraction, NLP and big data, in particular for the analysis of web content and behavioral data
  • Designing and developing infrastructures for mining large heterogeneous data from the web and coordinating R&D activities with team members and external partners
  • Acquisition of third-party funds at national and/or international level
  • Publishing and presenting research results at international conferences

Your profile:

  • PhD/degree in computer science or related fields and (internationally) visible publications in one or more of the following fields: information extraction, NLP, machine learning, information retrieval, big data, web mining and archiving
  • Experience in software development for NLP, ML and Scalable Analytics (Python, Java, Scala)
  • Practical experience with Big Data Frameworks (e.g. Spark, Hadoop) is desirable
  • experience in the coordination of scientific projects and the management of research teams is desirable
  • Ability to communicate fluently in English

We offer:

  • a fast-growing, international and interdisciplinary work environment with strong connections to international research institutions and experts in related fields
  • Access to unique corpora eg web mining data, behavioral data from online platforms and computing infrastructures for processing large amounts of data
  • flexible working hours and the possibility of mobile working within Germany
  • very good conditions for the compatibility of work and family, among other things through grants for the care of children who are not of school age
  • holistic company health management and discounted participation in the university's sports program
  • Generous promotion of your old-age provision in the form of direct insurance
  • Promotion of your skills through further training measures

For more information about the tasks, please contact Hajira Jabeen by phone on +49 (0)221-47694-517 or by email. If you have any questions about the application process, please email Anna Klein.

Have we aroused your interest?

Then please apply via our online application portal by June 2nd, 2022.

The code number is KTS-20.