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, 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 application 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.

Job Requirements

• PhD degree in Computer Science, Mathematics, Electrical Engineering or a related discipline, with a thesis in machine learning, deep learning or parallel & distributed computing.
• Experience in graph machine learning, federated learning, differential privacy or adversarial robustness.
• Hands‑on experience with deep neural networks using PyTorch or TensorFlow, 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.

Conditions of Employment

• Duration of contract: 1 year, with possibility for extension.
• Full‑time: 38 hours per week.
• Salary and benefits in accordance with the Collective Labour Agreement for Dutch Universities.
• Excellent pension scheme via the ABP.
• Flexibility for an individual employment package and discounts with health insurers.
• Flexible working week and 232 leave hours per year (38‑hour week), with the option to buy or sell additional hours.
• Opportunities for education, training and courses.
• Partially paid parental leave.
• Health and vitality programme to support working healthily and energetically.

Salary range: €3546 – €5538 per month.