Eurogroup for Animals, Monitoring & Early Warning System for Emerging Novel Animal Farming (Internship)

• Map and assess potential information sources that could signal the development of new intensive farming projects.
• Design and prototype an early warning and monitoring system, building on lessons learned from EfA’s previous prototype.
• Evaluate different technical approaches, including web scraping, natural language processing, keyword-based monitoring, and AI-assisted document classification.
• Work with consultants to design, develop and launch the back-end monitoring system underpinning the early warning system.
• Develop methods to assess the relevance and reliability of detected signals.
• Identify the information needs of EfA members and the wider animal protection movement, and design an alert-sharing model that defines what information should be shared, with whom, through which channels and at what stage of verification.
• Develop and test workflows for validating, prioritising and disseminating alerts, including a proposed alert format, confidence/relevance criteria, roles and responsibilities, and recommendations for implementation.
• Document the system architecture, methodology, and recommendations for future development.

• Strong analytical and problem-solving skills.
• Experience with Python or another programming language commonly used for data collection and analysis.
• Familiarity with web scraping, APIs, data extraction, or automated monitoring tools.
• Ability to work independently, manage a research project, and communicate findings clearly.

Desirable Skills:

• Project management experience.
• Experience with natural language processing or machine learning.
• Experience working with multilingual datasets.
• Familiarity with cloud-based data infrastructure or workflow automation tools.
• Interest in animal welfare, sustainability, food systems, or environmental policy.