Fully Funded PhD Scholarship in Computer Science: Reliable Quantum Statistics at Northeastern University London
Northeastern University London (NU London) is offering multiple fully funded PhD scholarships in Computer Science, focusing on Reliable Quantum Statistics. These studentships are part of a major investment to accelerate interdisciplinary research in digital sciences, humanities, and social sciences. Each scholarship is fully funded for three and a half years at UKRI rates, covering tuition fees, an annual stipend, a London allowance, and associated costs such as training.
NU London is a UK university governed by UK higher education regulations and serves as the European campus of Northeastern University, a top-tier research-intensive institution based in Boston. The university has a global network of campuses across the United States and Canada, providing students with unique opportunities for international collaboration and research engagement. While the PhD qualification is UK-based, students may engage with and visit Northeastern University campuses overseas as part of their doctoral studies.
The research project aims to develop reliable, adaptive, and universal statistical methods for a broad range of statistical inference tasks in quantum systems, with applications in quantum sensing, computing, and communications. Key topics include:
Sequential and universal inference: adaptive measurement and stopping rules with finite-sample guarantees.
Quantum statistical modeling: quantum relative entropy, Fisher information, and variational quantum circuits for practical implementations.
Causal and information-theoretic analysis: relationships among quantum divergences and their role in statistical efficiency.
Simulation and numerical validation: using quantum simulators and classical emulators to verify theoretical results.
Applications in quantum sensing, computing, and communications.
Successful candidates will join a vibrant, interdisciplinary research environment on NU London's new campus by the River Thames, next to Tower Bridge. The supervisory team includes Prof. Osvaldo Simeone (NU London) and Dr. Carlos Perez Delgado (University of Kent), offering international collaboration and networking opportunities. The project is aligned with the PhD in Computer Science and is full-time.
Eligibility requirements include a Bachelor’s degree in a relevant subject (minimum 2:1 or 1st class), with a Master’s degree optional. English language proficiency is required (IELTS 6.5 overall, minimum 6.5 in each component or equivalent). Applications are open to UK and international students, but visa costs are not supported. Candidates should demonstrate strong academic background, motivation, communication skills, and an inquiring mind.
To apply, submit your application online by 23:59 on 31 July 2026, referencing 'R138631'. Upload a CV and Covering Letter explaining your suitability and interest in the project. Participation in the equal opportunities section is encouraged but voluntary. For informal enquiries, contact Prof. Osvaldo Simeone at [email protected].
This opportunity offers full funding, a stimulating research environment, and access to a global academic network, making it ideal for students interested in quantum statistics and interdisciplinary research.
