OpenFieldAmsterdam Tech Postdoctoral Fellowship in Privacy-Preserving Machine Learning
Two-year postdoctoral research appointment developing federated learning architectures that allow collaborative medical model training across European hospitals without exposing patient data.
Application checklist & requirements
These requirements reflect published university guidelines available at the last review. Review official department guidelines before submission.
- Academic degree / Prerequisites
- PhD in computer science, cryptography, or machine learning within last 3 years
- English language proficiency
- Full professional English fluency
- Standardized testing (GRE/GMAT)
- Not required
- Thesis / Research statement
- Minimum two peer-reviewed publications on federated learning, differential privacy, or homomorphic encryption
- Recommendation letters
- Three academic reference letters
How much will it cost? How much funding is available?
- Financial support / stipend
- EUR 52,000 to EUR 62,000 annual gross salary plus Dutch pension and health benefits
- Application fee
- EUR 0
- Tuition / joining costs
- Not applicable (academic faculty appointment)
Dates and verification
- Application deadline
- April 30, 2027 (Summer 2027 start)
- Last source review
- 2026-10-15
Important verification note
Facts reflect official Amsterdam Tech documentation reviewed 2026-10-15. Admissions, funding allocations, and eligibility thresholds are evaluated by the university.
Reviewed 2026-10-15 · Editorial standards · Report an issue