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Join our AI team as a Research Grants AI Intern and contribute to building intelligent systems that connect grant data, research publications, and researcher profiles. This internship offers hands-on experience in real-world data acquisition, NLP-driven entity matching, and research intelligence workflows within academic publishing.
Job Responsibility:
Build workflows for crawling, extracting, and indexing grant information from public sources
Normalize and structure grant metadata (e.g., funding agency, grant IDs, investigators, timelines, keywords)
Develop and implement text-mining and metadata-matching methods to link grants with publications
Integrate grant data into internal databases and graph-based systems
Support the exploration of predictive models to identify research trends and funding opportunities
Contribute to potential integrations with internal analytics and editorial tools
Requirements:
Currently pursuing or recently completed a BSc or MSc in Data Science, Machine Learning, Software Engineering, or a related field
Initial practical experience in data acquisition, data processing, AI, or related areas
Basic knowledge of web scraping, API integration, and Python for data-intensive applications
Understanding of AI principles and interest in NLP or text mining
Familiarity with databases and data modeling concepts
Fluent in English (minimum B2)
Strong analytical and problem-solving skills
Ability to explain technical concepts to non-technical stakeholders
Comfortable working both independently and in an agile team environment
Curiosity about academic publishing and research ecosystems
Proactive mindset and adaptability in a dynamic setting
What we offer:
The opportunity to contribute to the academic/scientific community
Flexible working hours
Team bond strengthening through team-building events
Professional growth opportunities with our global training system
Working in a collaborative and socially responsible team
Company retreat facility
Full-coverage insurance for accidents/daily sickness
Prime location near Basel train station and city center