Internship, PhD & Research
Research Center Trustworthy Data Science and Security Internship 2027 in Germany (Fully Funded)
Offered by Research Center Trustworthy Data Science and Security (RC Trust)
Location
Germany
Funding
Fully Funded
Study level
PhD, Graduate, Undergraduate
Field of study
Computer Science & IT, Mathematics & Statistics
Application deadline
December 31, 2026

About This Internship
The Research Center Trustworthy Data Science and Security (RC Trust) invites applications for its 2027 Internship Program in Germany. The programme offers participants the opportunity to work with research groups investigating trustworthy artificial intelligence, data science, cybersecurity, privacy and the interaction between people and AI systems.
RC Trust brings together researchers from computer science, statistics, information technology security, psychology and related disciplines. Its interdisciplinary approach explores how intelligent systems can become more reliable, secure, transparent and useful in real-world settings.
The internship is intended for individuals who want practical exposure to academic research, the opportunity to contribute to a defined research project and experience collaborating with researchers from different backgrounds.
PROGRAMME LOCATIONS AND DURATION
Internships are hosted within the research environment associated with the universities in Bochum, Dortmund and Duisburg-Essen, Germany. A placement can last up to 90 days. The exact duration, research group and dates depend on the placement arrangements and the agreed project.
The programme is conducted in English, so German-language proficiency is not a stated requirement. Applicants should nevertheless check the current programme information for any project-specific expectations.
RESEARCH AREAS
The internship may provide opportunities to explore several areas of research, including:
- Trustworthy AI: Research into the reliability, explainability and responsible use of machine-learning systems.
- Security and privacy: Work on secure computing, privacy-preserving techniques and methods for providing formal security guarantees.
- Human–AI interaction: Research into how people understand, use and influence intelligent systems.
- Statistics and data science: Development of robust analytical methods for complex data and practical applications.
The precise research project will depend on the participating group and the applicant's background. Applicants should explore the centre's research groups before preparing their application.
FUNDING AND BENEFITS
The programme describes the internship as fully funded. The official website states that travel, accommodation and living costs are covered. Applicants should consult the programme team for the applicable funding limits, arrangements, eligible expenses and any conditions before making travel plans.
Check the official website for the latest eligibility requirements, application instructions and deadlines.



