Postdoc Scalable Graph Learning

Delft University of Technology (TU Delft) is seeking a postdoctoral researcher in the area of Scalable Graph Learning, within the Department of Software Technology in the Faculty of Electrical Engineering, Mathematics, and Computer Science.

Graph machine learning (Graph ML) is a rapidly growing area of artificial intelligence (AI), driven by the widespread presence of graph‑structured data across many real‑world domains. Graph neural networks (GNNs) lie at the core of this field and have proven effective in a wide range of applications, including recommender systems, financial crime detection, cybersecurity, and network analysis. This project focuses on scalable, parallel, distributed, federated, and hardware‑accelerated training and inference of GNNs and graph transformers, with applications in the financial domain.

In particular, it targets the analysis of financial transaction networks for the detection and prevention of financial crime. Robustness and resilience under data heterogeneity and adversarial conditions will also be investigated.

• A PhD degree in Computer Science, Mathematics, Electrical Engineering, or a related discipline with a PhD thesis conducted in the field of machine learning, deep learning, or parallel & distributed computing.
• Experience in the field of graph machine learning, federated learning, differential privacy, or adversarial robustness.
• Hands‑on experience with deep neural networks using PyTorch or Tensor Flow, and preferably with GNNs using Pytorch Geometric or Deep Graph Library.
• First‑author publications at leading conferences in artificial intelligence, machine learning, security and privacy, or data management.

• Duration of contract: 1 year, with the possibility for extension.
• Full‑time job of 38 hours per week.
• Salary and benefits in accordance with the Collective Labour Agreement for Dutch universities.
• An excellent pension scheme via the ABP.
• The possibility to compile an individual employment package each year.
• Discounts with health insurers on supplemental packages.
• 232 leave hours per year (at 38 hours). Additional leave hours may be sold or bought via an individual choice budget.
• Opportunities for education, training, and courses.
• Partially paid parental leave.
• Support for healthy and energetic work in the vitality program.

Will you need to relocate to the Netherlands for this job? TU Delft is committed to making your move as smooth as possible! The HR unit, Coming to Delft Service, offers information on their website to help you prepare your relocation. In addition, Coming to Delft Service organises events to help you settle in the Netherlands and expand your social network in Delft.

A Dual Career Programme is available to support your accompanying partner with their job search in the Netherlands.