Konrad Zuse Master’s in AI Scholarships for Students from Underrepresented Groups
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Target group
- Supporting highly qualified Master’s students from underrepresented groups
- Considering all areas of underrepresentation: e.g., gender, sexual orientation, nationality
Aim
- Increasing diversity in AI
- Supporting students for whom it would be difficult to study (in Germany)
Arrangements
- Optional: Scholarship holders can be integrated into the research group of an ELIZA fellow already during their Master’s phase
- Thesis advised by an ELIZA fellow (academic or industrial)
- Optional (but encouraged): Co-supervision by a 2nd ELIZA fellow at a different site
- Scholarship holders participate in the ELIZA curriculum
- Are eligible to take cross-listed Master’s level courses from other sites (regular course credit)
- Master’s regulations of hosting institution need to be followed
Funding
- Following official DAAD rates
- Supplements for married candidates & for children
- Relocation support: 950€ on average (specific amount depends on need)
- Duration:
- Up to Master’s completion or at most 2 years, whichever is earlier
- Default should be a full 2-year funding period, but can be shorter in exceptional cases
Admissions
- Only students from underrepresented groups are eligible
- Key acceptance criteria: outstanding aptitude for Master’s studies in ML-driven AI based on Bachelor’s grades, diversity in terms of gender and background (including internationality), motivation, as well as topical fit with the four research focus areas of ELIZA
- Applications will be reviewed, and candidates optionally interviewed by the potential hosting ELIZA fellows, who will make a recommendation to the Scholarship Admissions Committee
- Master’s admission of hosting institution needs to be followed
Application process
Interested candidates who have already been accepted for Master’s studies in AI at one of ELIZA’s partner universities should inquire through the academic fellow with whom they would like to work.
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