Senior Researcher (PostDoc) NLP and Computational Social Science

10 May 2024
Job Information

Organisation/Company

GESIS - Leibniz Institut für Sozialwissenschaften

Department

Cologne/Mannheim

Research Field

Sociology

Researcher Profile

Recognised Researcher (R2)

Country

Germany

Application Deadline

31 May 2024 - 23:59 (Europe/Berlin)

Type of Contract

Temporary

Job Status

Full-time

Hours Per Week

39,5

Is the job funded through the EU Research Framework Programme?

Not funded by an EU programme

Reference Number

KTS-61

Is the Job related to staff position within a Research Infrastructure?

No

Offer Description

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, Big Data Analytics located in Cologne, is looking for a

 

Senior Researcher (PostDoc) NLP and Computational Social Science

(Salary group 13 TV-L, working time 100 %, limited to 4 years, with a potentially permanent future position)

 

The department Knowledge Technologies for Social Sciences (KTS)  conducts research at the intersection of information retrieval, natural language processing (NLP), human information interaction and machine learning as foundation for innovative web portals and platforms for the search and use of research data and methods.

 

GESIS is currently conducting a major effort to explore digital behavioral data in combination with artificial intelligence-based methods to generate new insights and create infrastructures for the social sciences. Examples include techniques for opinion mining, stance detection, or classification of online behavior and interactions as observed in social platforms and other data-intensive tasks.

 

In this context, we offer an exciting opportunity to conduct excellent research and develop innovative methods for answering social science questions through mining and understanding of behavioural data using techniques from NLP and Large Language Models (LLMs). Special emphasis will be placed on transparency, fairness, and reproducibility of the methods used.

 

Your tasks will be:

• Research into methods for computational social science, e.g. in natural language processing (NLP) or information extraction (IE) to extract meaningful insights from unstructured text data such as social media posts focusing social science research questions
• Working and collaborating with an interdisciplinary team of computer scientists and social science researchers to create innovative infrastructures for processing of digital behavioral data
• Developing efficient methods for analyzing, accessing and processing large volumes of digital behavioral data, with a focus on reproducibility and transparency
• Communicating and publishing your research within and outside of GESIS and at top-tier (social Science) research venues
• Co-supervision of team members and PhD students

Your profile:

• Doctoral/Ph.D. degree in computer science, computational social science or related fields and (internationally) visible publications in one or more of the following areas: information extraction, NLP, machine learning, information retrieval, big data, web mining and archiving
• Ability to communicate fluently in English, German language skills are desired
• Experience in software development for NLP, ML, and scalable analytics (Python, Java, or Scala)
• Preferably worked with big data frameworks (e.g., Spark, Hadoop)
• Desirable: experience in coordinating scientific projects and research teams

Our Benefits:

• A fast-growing, international, and interdisciplinary research environment with strong ties to regional and international labs and experts in related fields
• Access to unique corpora of Web-mined data, user interaction logs, and computational infrastructure for collecting and processing behavioral data
• 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

 

For further information concerning the tasks please contact Hajira Jabeen via phone +49 (0)221-47694-517 or via email . If you have questions about the application process, please contact Franca Tosetti via email .

 

Interested?

Please apply via our Online-application portal until 31.05.2024.

Requirements

Research Field

Sociology

Education Level

PhD or equivalent

Additional Information
Work Location(s)

Number of offers available

1

Company/Institute

GESIS - Leibniz-Institut für Sozialwissenschaften

Country

Germany

City

Cologne

Postal Code

50667

Street

Unter Sachsenhausen 6-8

Where to apply

Website

https://www.hidden-professionals.de/HPv3.Jobs/gesis/stellenangebot/37621/Senior…

Contact

City

Cologne

Website

http://www.gesis.org/home/

Street

Unter Sachsenhausen 6-8

Postal Code

50667

E-Mail

[email protected]

STATUS: EXPIRED