Login and apply
Swedish
Norwegian
Danish
Finnish
German
Dutch
Chinese (BETA)
Polish
French
Romanian
Norwegian (nynorsk)
Login and apply
Swedish
Norwegian
Danish
Finnish
German
Dutch
Chinese (BETA)
Polish
French
Romanian
Norwegian (nynorsk)
Project assistant computational social sciences
Login and apply
Lund University
Lund University was founded in 1666 and is repeatedly ranked among the world’s top universities. The University has around 46 000 students and 8 500 staff based in Lund, Helsingborg and Malmö. We are united in our efforts to understand, explain and improve our world and the human condition.
Requirement profile
The project assistant will be employed in the project “Leveraging large-scale newspaper data to uncover regional valuations of the green transition in the European Union” funded by Crafoord foundation. This project examines how the green transition is perceived, valued, and contested across different regions in three European countries (Sweden, Denmark, Germany),
using a novel machine learning approach combining NLP and LLMs to analyse newspaper data. Findings will inform place-based, just governance approaches and advance NLP-based methods in social science research.
The project assistant is expected to
Conduct research on the green transition in Europe in different geographies (Sweden, Denmark, Germany) in collaboration with the project team using computational methods;
Work closely together with the project team and contribute to joint activities;
Assist in writing scientific publications during the employment.
Qualifications
Requirements for the job are:
Robust interest in academic research and societal transformations
Curiosity for interdisciplinary research approaches at the intersection of human geography and computational methods
Master's degree in a relevant field (e.g., Computational Social Science, Data Science, Computer Science, Statistics, Information Science, Digital Humanities, Economics, Political Science, or related di