OpenFieldBIFOLD (Berlin Institute for the Foundations of Learning and Data) Placements
Frontier research positions inside BIFOLD, Germany's national AI competence center co-hosted at Humboldt University, developing scalable deep learning systems, data management architectures, and explainable AI.
Application checklist & requirements
These requirements reflect published university guidelines available at the last review. Review official department guidelines before submission.
- Academic degree / Prerequisites
- Graduate degree in Computer Science, Data Science, or Mathematics with distinction.
- English language proficiency
- Technical English communication fluency.
- Standardized testing (GRE/GMAT)
- Not required.
- Thesis / Research statement
- Demonstrated contributions in machine learning algorithms, database architectures, or deep learning theory.
- Recommendation letters
- Curriculum vitae, research portfolio, and two academic referee contacts.
How much will it cost? How much funding is available?
- Financial support / stipend
- Funded research positions supported by the Federal Ministry of Education and Research (BMBF) and Berlin Senate
- Application fee
- Free application directly to affiliated BIFOLD researchers
- Tuition / joining costs
- Zero tuition; funded scientific placement.
Dates and verification
- Application deadline
- April 30, 2027 for collaborative machine learning research allocations
- Last source review
- 2026-10-14
Important verification note
Facts reflect official Humboldt University of Berlin documentation reviewed 2026-10-14. Admissions, funding allocations, and eligibility thresholds are evaluated by the university.
Reviewed 2026-10-14 · Editorial standards · Report an issue