Northeastern University London Fully Funded PhD Scholarship in Computer Science - Reliable Quantum Statistics

Tasks

• Analyze relationships among quantum divergences and statistical efficiency
• Apply quantum relative entropy and Fisher information for statistical modeling
• Design adaptive measurement and stopping rules with finite sample guarantees
• Develop reliable adaptive universal statistical methods for quantum inference
• Simulate quantum systems using quantum simulators and classical emulators
• Use variational quantum circuits for practical implementations
• Validate theoretical results for quantum sensing computing and communications

Perks/Benefits

• Annual stipend
• Employee assistance programme
• Fully funded tuition
• Interdisciplinary research environment
• International collaboration opportunities
• London allowance
• Private medical insurance support
• Research workspace
• Training opportunities

Skills/Tech-stack

Causal Inference | Fisher Information | Information theory | Numerical Methods | Quantum Computing | Quantum Mechanics | Quantum Relative Entropy | Quantum Statistics | Quantum circuits | Quantum simulation | Sequential analysis | Statistical inference | Variational quantum circuits