NUL
Northeastern University London Fully Funded PhD Scholarship in Computer Science: Reliable What-If Analysis of Intelligent Networks
✓ Fully Funded
⏰ Closing Soon
🎓 Artificial Intelligence
🎓 Computer Science
🎓 Control Systems
🎓 Networks
🎓 Statistics
machine learning
autonomous systems
agentic AI
causal inference
counterfactual analysis
decision support
intelligent networks
This fully-funded PhD at NU London develops statistically reliable frameworks for what-if analysis in intelligent networks. The research combines causal inference, conformal prediction, and agent-environment modeling to enable trustworthy decision support and debugging of autonomous systems.
Project Description
The project focuses on designing a unified framework for reliable counterfactual analysis in intelligent, agentic networks. Key aspects include:
Developing statistical and AI-driven methods for what-if analysis in autonomous and agentic systems.
Combining tools from causal inference, agent-based modeling, and statistical learning.
Providing robust decision support and debugging tools for intelligent networked systems.
Students will benefit from a modern interdisciplinary research environment in London with opportunities to collaborate internationally across the Northeastern University network and the University of Kent.
Entry Requirements
Bachelor’s degree in a relevant subject (2:1 or 1st)
Master’s degree optional
English proficiency: IELTS 6.5 overall (min 6.5 in all components) or equivalent
Open to UK and international students (visa costs not covered)
Master’s degree optional
English proficiency: IELTS 6.5 overall (min 6.5 in all components) or equivalent
Open to UK and international students (visa costs not covered)
How to Apply
Submit your application via the NU London application portal
by 01 April 2026, referencing project “R138405”. Include a CV and covering letter outlining your suitability and interest in the project. Shortlisted candidates will be interviewed in May 2026.
Contact for enquiries: o.simeone@nulondon.ac.uk
by 01 April 2026, referencing project “R138405”. Include a CV and covering letter outlining your suitability and interest in the project. Shortlisted candidates will be interviewed in May 2026.
Contact for enquiries: o.simeone@nulondon.ac.uk
Eligibility
UK/Home
EU
International
Supervisor Profile
PO
Prof Osvaldo Simeone, Dr Huiling Zhu
Northeastern University London, Faculty of Computing, Mathematics, Engineering & Natural Sciences
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