Konrad Zuse Master’s in AI Scholarships for Students from Underrepresented Groups
Are you a highly qualified Master’s student from an underrepresented group with a passion for Artificial Intelligence? The prestigious Konrad Zuse Master's in AI Scholarship offers a unique opportunity to pursue your studies in Germany.
Target Group:
- Highly qualified Master’s students from underrepresented groups.
- This includes individuals facing various forms of underrepresentation, such as gender, sexual orientation, and nationality.
Aim:
- To increase diversity in artificial intelligence (AI).
- To support students who may find it challenging to study in Germany.
Arrangements:
- Integration: Scholarship holders may have the option to join the research group of an ELIZA fellow during their Master’s studies.
- Thesis Supervision: Master’s theses will be supervised by an ELIZA fellow, either from academia or industry.
- Co-supervision: While optional, students are encouraged to have co-supervision from a second ELIZA fellow located at a different site.
- Curriculum Participation: Scholarship holders will take part in the ELIZA curriculum.
- Course Credit: They are eligible to enroll in cross-listed Master’s level courses from affiliated institutions and will receive regular course credit.
- Compliance: Students must adhere to the Master’s regulations of the hosting institution.
Funding:
- Funding will follow the official DAAD (German Academic Exchange Service) rates.
- Additional financial support is available for married candidates and candidates with children.
- Relocation support is provided, with specific amounts determined by individual needs and following DAAD guidelines
Duration of Funding:
- Funding is available until the completion of the Master’s program or for the standard study period (Regelstudienzeit), typically two years after the beginning of studies, whichever comes first.
- While the default funding period is two years, shorter durations may be considered in exceptional cases.
Admissions:
- Only students from underrepresented groups are eligible to apply.
- Key criteria for acceptance include outstanding aptitude for Master’s studies in machine learning-driven AI, strong academic performance in Bachelor’s studies, a diverse background (including international perspectives), motivation, and alignment with the four research focus areas of ELIZA.
- Candidates must meet the Master’s admission requirements of the hosting institution.
Application Process:
- Interested candidates should apply through the Master’s application portal.
Our Commitment to Diversity
At ELIZA, we firmly believe that fostering a diverse and inclusive environment is paramount to advancing innovation and excellence in Artificial Intelligence. The Konrad Zuse Master’s in AI Scholarships for Students from Underrepresented Countries directly embodies this commitment by providing crucial support and opportunities for talented individuals from diverse backgrounds to contribute to the field [previous conversation]. We are dedicated to creating a vibrant and equitable community where a multitude of perspectives enriches our research and educational endeavours in machine learning-driven AI.
