Research Associate in Cyber Security and Artificial Intelligence

Develop and evaluate GNN-based intrusion detection models

• Build scalable pipelines for provenance graph analysis
• Integrate machine learning with rule-based reasoning
• Collaborate with academic partners and contribute to publications

Do you have a Doctoral degree?, PhD in Cybersecurity, AI, Computer Science, or related field

• Strong background in machine learning (ideally GNNs)
• Proficiency in Python and ML frameworks (e.g., PyTorch, TensorFlow)

Desirable:

• Experience with intrusion detection or graph-based data
• Knowledge of explainable AI

The University of Surrey is a global community of ideas and people, dedicated to life-changing education and research. We are ambitious and have a bold vision of what we want to achieve - shaping ourselves into one of the best universities in the world, which we are achieving through the talents and endeavour of every employee. Our culture empowers people to achieve this aim and to collectively, and individually, make a real difference.