PhD: Distributed AI for Trusted Public Data

Delft University of Technology; Delft; On-site; EUR 34,000 - 45,000; Full time

Job summary

Delft University of Technology (TU Delft) invites applications for a four-year PhD position in the WALTZ project within the Distributed Systems group of the EEMCS faculty. You will develop training and evaluation pipelines for privacy-preserving, Byzantine-resilient AI across public authorities.

You will publish at top venues, join a large international consortium, and balance research with a modest teaching load, while benefiting from TU Delft's graduate school and a competitive compensation

Qualifications

• MSc in CS/DS/AI or close to completion.
• Strong foundation in ML and distributed systems.
• Experience with federated or decentralized learning, fault tolerance, privacy-preserving ML, or LLM-based systems.
• Programming in Python with PyTorch on Linux-based GPU/HPC.
• Interest in trustworthy AI; publication and reproducibility.
• English proficiency; ability to work in an international consortium.
• Ability to carry a four-year research agenda and meet deliverables.
• Open science: publishing code and benchmarks.

Responsibilities

• Contribute to design and evaluation of decentralized AI pipelines across administrative boundaries.
• Publish research results in top venues.
• Collaborate with international partners and supervise students.

Skills

Federated learning

Distributed systems

Machine learning

Python

PyTorch

English proficiency

Research independence

Open science

Education

MSc in Computer Science or related field

Tools

Linux-based GPU/HPC clusters

Job description

Delft University of Technology (TU Delft) invites applications for a four-year PhD position in the WALTZ project within the Distributed Systems group of the EEMCS faculty. You will develop training and evaluation pipelines for privacy-preserving, Byzantine-resilient AI across public authorities.

You will publish at top venues, join a large international consortium, and balance research with a modest teaching load, while benefiting from TU Delft's graduate school and a competitive compensation