PhD: Decentralized & Trustworthy AI Pipelines

Delft; Netherlands; Remote; EUR 36,000 - 48,000; Full time

Benefits offered by this job

Graduate School doctoral programme

Access to DelftGPU/DAIC GPU clusters

Mentored supervision and teaching (up 

Job summary

TU Delft in the Distributed Systems group (EEMCS) invites applications for a PhD position on Decentralized and Trustworthy AI Pipelines as part of the EU WALTZ project. You will design training and inference pipelines that cross organisational boundaries while ensuring privacy and robustness.

You will publish results at top venues and participate in the TU Delft Graduate School doctoral programme, with teaching and supervision duties up to 15%.

Qualifications

• MSc completed or near completion in a relevant field.
• Solid foundation in ML and distributed systems; familiarity with federated or decentralized learning is a strong asset.
• Strong programming skills in Python and PyTorch; experience on Linux-based GPU/HPC clusters.
• Demonstrated interest in trustworthy AI, privacy, robustness, and reproducibility.

Responsibilities

• Design decentralized and federated AI pipelines across organizational boundaries.
• Research and develop evaluation methods for trustworthy AI systems.
• Collaborate with EU project partners and publish results in top venues.
• Contribute to TU Delft Graduate School doctoral programme and teaching up to 15%.

Skills

Machine learning

Distributed systems

Python

PyTorch

Research mindset

Independent work

Education

MSc in Computer Science, Data Science, AI, Electrical Engineering or related field

Tools

PyTorch

Linux HPC clusters

Git

Job description

TU Delft in the Distributed Systems group (EEMCS) invites applications for a PhD position on Decentralized and Trustworthy AI Pipelines as part of the EU WALTZ project. You will design training and inference pipelines that cross organisational boundaries while ensuring privacy and robustness.

You will publish results at top venues and participate in the TU Delft Graduate School doctoral programme, with teaching and supervision duties up to 15%.