Postdoc Trustworthy Graph Machine Learning (AI)

TL;DR

Postdoc Trustworthy Graph Machine Learning (AI): Developing fundamental techniques for trustworthy graph machine learning for the analysis of population-scale networks with an accent on explainability and privacy-preserving learning. Focus on creating decision support methods for model behavior and designing privacy-aware learning techniques to mitigate risks in relational data.

Location: Must relocate to the Netherlands (Delft)

Salary: €3,546 - €5,538 per month

Company

hirify.global is a leading international university focusing on energy, climate, digitalization, and AI to create concrete solutions for global challenges.

What you will do

• Develop explainability methods for graph machine learning to serve as decision support for researchers.
• Investigate how learned graph representations and explanations can reveal sensitive information in population-scale networks.
• Design and implement new privacy-preserving graph learning techniques.
• Collaborate with interdisciplinary scientists in computer science and computational social science within the Macroscope project.
• Mentor and work alongside PhD and Master’s students.

Requirements

• PhD in Computer Science, AI, Machine Learning, Data Science, Network Science, or a related field.
• Expertise in either explainable graph machine learning or privacy-preserving graph learning.
• Strong programming skills in Python, including PyTorch, PyTorch Geometric, DGL, NetworkX, or scikit-learn.
• Engineering experience with large, noisy datasets, including pipeline development and scalable evaluation.
• Ability to communicate research clearly in English.
• Willingness and ability to relocate to the Netherlands.

Culture & Benefits

• 2-year temporary contract with a 38-hour work week.
• Competitive salary and benefits per the Collective Labour Agreement for Dutch Universities.
• Comprehensive pension scheme via ABP and individual employment packages.
• Generous leave policy (232 hours per year) with a flexible working week.
• Comprehensive relocation support through the "Coming to Delft Service" and a Dual Career Programme for partners.
• Extensive opportunities for further education, training, and professional courses.

Hiring process

• Submit CV, motivational letter, and a research statement describing your ambitions.
• Application deadline is 26 July 2026.
• Selection includes a risk assessment as part of knowledge security protocols.