Advance Your Career in Artificial Intelligence
ELIZA is a leading German institution dedicated to nurturing the next generation of Artificial Intelligence experts at the master’s and doctoral levels. As a Zuse School and the national German educational platform for ELLIS (European Laboratory for Learning and Intelligent Systems), ELIZA offers exceptional opportunities to study, research, and collaborate at the forefront of machine learning-driven AI.
Joining ELIZA means becoming part of a vibrant, international network that connects top universities, research institutes, and industry partners across Germany and beyond—while contributing to cutting-edge innovation and strengthening Germany’s position as a global AI research hub.
Why Join ELIZA?
- International Excellence: Collaborate with world-class researchers and industry fellows across a seven-site German network
- Cutting-Edge AI Research: Focus on machine learning-driven AI with access to outstanding resources
- Strong Mentorship: Co-advising model combining academic and industry perspectives
- Career-Ready Training: Academic rigor paired with transferable and leadership skills
- Inclusive Community: Strong commitment to diversity, international exchange, and female leadership in AI
Funding & Study Opportunities
1. Research-Oriented Master’s Scholarships
Designed for students aspiring to pursue a PhD in AI.
What’s included
- Research-focused master’s curriculum
- Supervision by an ELIZA Fellow
- Strong preparation for doctoral studies
Deadlines
- Winter term: October 25
- Summer term: April 25
(Applications accepted year-round; re-application encouraged if unsuccessful)
2. Master’s in AI Scholarships for Students from Underrepresented Groups
Supporting outstanding students from underrepresented backgrounds to pursue a master’s degree in AI in Germany.
Benefits
- Access to a cutting-edge AI curriculum
- Research opportunities and networking events
- Participation in a diverse, international cohort
Deadlines
- Winter term: October 25
- Summer term: April 25
3. ELIZA PhD Program – Fully Funded Positions
Pursue a fully funded PhD in Artificial Intelligence within a high-impact research environment.
Program highlights
- Supervision by leading academics and industry fellows
- Joint courses, workshops, and summer schools
- Mandatory 6–12 month research stay at another ELIZA site or partner institution
- Strong publication and career placement outcomes
4. Research Stays for ELLIS PhD Students
Mobility opportunities within the ELIZA & ELLIS network:
- Germany-based ELLIS PhD students can conduct research stays abroad
- International ELLIS PhD students can complete research stays at ELIZA sites in Germany
5. Female Student Travel Award
Supporting female leadership in AI.
Award details
- Travel stipend to attend conferences focused on women in computer science and engineering
- Open to female students in ELIZA’s four research areas
- Aims to promote visibility, networking, and excellence
Comprehensive Training & Student Experience
ELIZA offers a holistic training program combining academic depth with practical skills:
- Mandatory onboarding (starter week & intercultural competence bootcamp)
- Scientific methods & research skills (publishing, data management, science communication)
- Transferable skills training (leadership, project management, resilience, presentation skills)
- Thematic workshops & summer schools
- Industry engagement (Konrad Zuse Lectures, internships, mentoring)
- Science communication initiatives, including student-led AI podcast opportunities
- Access to KI-Campus, Germany’s digital AI learning platform
Who Should Apply?
- Motivated master’s and PhD candidates in machine learning-driven AI
- Students and researchers seeking international exposure, strong mentorship, and impactful research
- Individuals committed to shaping the future of AI in academia or industry
Apply & Learn More
Explore all ELIZA opportunities and apply:
Official ELIZA website
ELIZA is building a diverse, globally connected community of AI leaders—this is your opportunity to be part of it.
