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in the categories
Computer Sciences PhD Student Research Fellow, Research Assistant, Research Associate North Rhine-Westphalia Research Institute
in the categories
Computer Sciences PhD Student Research Fellow, Research Assistant, Research Associate North Rhine-Westphalia Research Institute
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Research Associate (Doctoral Student) Natural Language Processing and Scalable Analysis (m/f/d)
Published
Application deadline
Part-time position
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.
Starting on May 1st 2023 our department Knowledge Technologies for the Social Sciences (KTS), Team Big Data Analytics, located in Cologne, is looking for a
Research Associate (Doctoral Student)
Your profile:
Interested?
Please apply via our Online-application portal until March, 22th 2023.
Our reference number is: KTS-42.
Research Associate (Doctoral Student)
Natural Language Processing and Scalable Analysis
(Salary group 13 TV-L, working time 75 %, limited to 36 months)
The department Knowledge Technologies for Social Sciences (KTS) conducts research at the intersection of information retrieval, knowledge graphs, human
information interaction and machine learning as foundation for innovative web portals and platforms for the search and use of research data. WTS innovations
are based on a state-of-the-art software stack and research-based innovations in the aforementioned fields.
In the context of the research project NewOrder - Understanding the Erosion of the Traditional Knowledge Order in Scientific Online Discourse and its Impact
in times of Crisis, KTS addresses the challenge of providing Natural Language Processing (NLP) and Machine Learning methods for investigating the effects of
communicating scientific information on social media on society and the research process and vice versa. The research will be conducted in close collaboration
with an interdisciplinary project team including researchers from Psychology, Political and Communication Science.
Your tasks will be:
- Applied research in fields such as ML and NLP, specifically with the aim to model and analyse large scale longitudinal online discourse data
- Develop NLP and ML methods to predict perceived trustworthiness of scientific online content
- Analysis of the generalisability of models, impact of features, and scalability of large language models to study the evolution of concepts, e.g. sentiments
- Writing, publishing and presenting project results at intenational conferences
- Collaboration with KTS team members and project partners at the Heinrich-Heine University Düsseldorf
GESIS offers an exciting work environment for interdisciplinary research at the interface between social sciences and computer sciences. As an infrastructure institution, we promote social science research cooperate with best-known international research institutes.
GESIS supports your PhD, i.e., with our GESIS Doctoral Program. We offer a wide range of
career possibilities within an attractive working atmosphere with a high degree of responsibility and action possibilities. You work in an international environment in the heart of Cologne. You profit from our ideal working conditions and our internal and external networks.
GESIS is an equal opportunity employer and adheres to the disability guidelines.
We are a family-friendly employer and since 2010 we are certified by the audit Work&Family.
You will find further information here.
- University degree (diploma/MSc) in Computer Science, Computational Linguistics or related fields
- Research interests in Machine Learning, time series data analysis, NLP
- Hands-on experience with Python and handling big datasets, ideally experience with Hadoop and/or SparkNLP
- Knowledge of ML-Frameworks such as TensorFlow and PyTorch
- Ability to communicate fluently in English mandatory, basic knowledge of the German language desirable
- A fast growing and international working environment with a lot of creative scientific freedom and access to unique datasets
- Excellent career opportunities in research & teaching as well as in software development and data engineering
- Close collaboration and exchange with excellent national and international research labs in Artificial Intelligence and data science
- 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
Interested?Please apply via our Online-application portal until March, 22th 2023.
Our reference number is: KTS-42.