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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.
As part of our commitment to fostering a collaborative team environment, this role requires working fully on-site.
Tasks & Responsibilities
Headquartered in Switzerland, MDPI is a fully Open Access publisher with a portfolio of more than 500 journals across all scientific disciplines. To date, MDPI has published the works of over 4.5 million researchers, collaborating with an extensive network of academic institutions and scientific societies worldwide. Above all, MDPI is committed to ensuring that high-quality research is freely accessible to readers across the globe.
Initiatives
At MDPI, we develop and maintain various platforms in order to better serve the scientific community. Please find here-below a list of our main platforms:
https://www.mdpi.com
https://www.mdpi.com/books/
https://sciprofiles.com
https://sciforum.net
https://www.scilit.net
https://www.preprints.org
https://encyclopedia.pub
As part of our commitment to fostering a collaborative team environment, this role requires working fully on-site.
Tasks & Responsibilities
- 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.
- 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.
- 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;
- And more...
- A motivational letter (EN) that briefly describes your motivations for joining MDPI
- A resume (EN) including personal information, past & current education,
- Copy of ID and Diplomas
- If available: reference letters and certificates.
Headquartered in Switzerland, MDPI is a fully Open Access publisher with a portfolio of more than 500 journals across all scientific disciplines. To date, MDPI has published the works of over 4.5 million researchers, collaborating with an extensive network of academic institutions and scientific societies worldwide. Above all, MDPI is committed to ensuring that high-quality research is freely accessible to readers across the globe.
Initiatives
At MDPI, we develop and maintain various platforms in order to better serve the scientific community. Please find here-below a list of our main platforms:
https://www.mdpi.com
https://www.mdpi.com/books/
https://sciprofiles.com
https://sciforum.net
https://www.scilit.net
https://www.preprints.org
https://encyclopedia.pub
Key Skills
Ranked by relevance
ai
machine learning
python
ids
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- Posted
- Apr 04, 2026
- Type
- Volunteer
- Level
- Not Applicable
- Location
- Basel Metropolitan Area
- Company
- MDPI
Industries
Book
Periodical Publishing
Categories
Other
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3 roles aligned with this opportunity
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Senior Data Scientist
2026-03-17
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