Research Assistant

**Job Description**
The Research Assistant will join the ERC Advanced Grant project SLOMODEMO, focusing on the “Theorizing, Operationalizing, and Measuring Social Acceleration” work package. The core responsibility involves developing a combined formative-reflective measurement model of social acceleration and building a comprehensive cross-national dataset (2000-2024). This dataset will capture technological, social, and life-pace change in eight countries, contributing to the project’s study of how social acceleration pressures liberal democracies’ capacity for effective problem-solving and democratic quality.

**Skills & Abilities**
• Advanced skills in quantitative and computational areas
• Keen interest in dataset creation and model measurement
• Clear, careful coding and documentation; able to balance speed with reliability
• Programming and data work: R or Python; regular expressions; data wrangling libraries; Structured Query Language (SQL) (appreciated, not must-haves)
• Web and text data: web scraping; application programming interfaces (APIs); natural language processing (NLP); machine translation (appreciated, not must-haves)
• Modelling and measurement: statistical modelling; supervised machine learning; measurement and validation for formative and reflective constructs (appreciated, not must-haves)
• Workflow and sharing: Git and GitHub; reproducible environments; clear documentation (readme files and codebooks) (appreciated, not must-haves)
• Visualisation: plotting libraries (e.g., ggplot2 or Matplotlib) and simple dashboards (appreciated, not must-haves)

**Qualifications**
Required Degree(s) in:
• Political Science
• Data Science
• Economics
• Sociology
• Computer Science
• A related field

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