The SECAI Scholarship is a competitive funding opportunity designed to support outstanding students in artificial intelligence and related interdisciplinary fields. It is offered in collaboration with leading German institutions including the TU Dresden and the University of Leipzig.
The programme supports talented students working across areas such as computer science, engineering, mathematics, data science, bioinformatics and applied artificial intelligence. It focuses on strengthening research capacity, international collaboration and academic excellence in AI-related studies.
The scholarship is awarded mainly on academic merit, with additional consideration given to diversity, international background and personal circumstances.
Scholarship Value and Financial Support
The SECAI scholarship provides financial assistance to help students concentrate on their studies and research in Germany.
The benefits include:
- Monthly stipend of approximately €934
- Mobility grants for international exchange programmes
- Support for research visits and academic placements
- Additional allowances depending on individual circumstances
The funding is designed to cover living costs while allowing students to engage fully in research and academic development.
Eligible Study Areas and Programmes
The scholarship is available to students enrolled in selected programmes at TU Dresden and Leipzig University.
Eligible fields include:
- Computer Science
- Data Science
- Bioinformatics
- Medical Informatics
- Nanoelectronic Systems
- Computational Modelling and Simulation (AI-related tracks)
Students participating in international research visits or exchange programmes linked to SECAI research groups may also apply.
Eligibility Requirements for Applicants
Applicants must meet the following conditions:
- Be enrolled in a Master’s or equivalent programme
- Be affiliated with TU Dresden or Leipzig University, or visiting their research groups
- Maintain a strong academic record (generally GPA equivalent of 1.7 or better in German grading system)
- Work on a research topic related to SECAI focus areas
- Demonstrate academic excellence and research potential
Special consideration may be given to students facing difficult personal or social circumstances, including refugees or individuals from disadvantaged backgrounds.
Application Process for SECAI Scholarship
Applicants are expected to:
- Apply through the official SECAI scholarship portal
- Submit academic transcripts and proof of enrolment
- Provide a research proposal or project outline
- Meet the specified application deadlines
- Submit any additional documents if requested
Early application is encouraged as some candidates may be selected before the final deadline.
Selection Criteria for the Scholarship
Applications are assessed based on:
- Academic performance and qualifications
- Relevance of research to SECAI’s focus areas
- Quality and feasibility of the proposed research project
- International exposure and collaboration potential
- Personal circumstances and diversity considerations
Due to limited funding, only highly competitive applicants are selected.
Duration and Funding Structure
The scholarship duration depends on the student’s study plan or research placement.
Key points include:
- Funding is provided for the remaining study period where applicable
- Shorter funding periods may be awarded based on budget and progress
- The scholarship ends if eligibility requirements are no longer met
- Mobility grants support international research exchange
The structure is flexible and adapted to individual academic pathways.
Application Deadline
30 June 2026
APPLY HERE
SECAI Scholarship Program Application
Additional Information for Applicants
The SECAI scholarship is part of a wider initiative to strengthen artificial intelligence research across Europe. It promotes collaboration between universities, research centres and international partners.
Students may also participate in:
- Research in Academic Projects for Students (RAPS)
- Research Experience for Undergraduates (REUs)
- International exchange and research placements
The programme encourages innovation and cross-border academic cooperation.