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Northeastern University London

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PhD Studentship in Computer Science: Algorithms/Hardware Co-Design for Bayesian and Ising Models Northeastern University London in United Kingdom

Degree Level

PhD

Field of study

Computer Science

Funding

Fully funded PhD studentship for 3.5 years covering full tuition fees, an annual stipend at UKRI rates, an additional London allowance, and associated costs such as training. The post notes that visa costs are not supported.

Deadline

Nov 15, 2026

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Country

United Kingdom

University

Northeastern University London

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Keywords

Computer Science
Electrical Engineering
Information Technology
Mathematics
Federated Learning
Probabilistic Programming
Embedded System
Physics

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About this position

PhD studentship in Computer Science at Northeastern University London on Algorithms/Hardware Co-Design for Bayesian and Ising Models. The project sits at the intersection of computer science, electrical engineering, mathematics, and physics, with a focus on probabilistic computing, MRAM-based hardware, and performance-aware algorithm design.

The research aims to develop algorithms and hardware architectures for Bayesian and Ising models that can exploit the intrinsic stochasticity of emerging magnetic random access memory (MRAM) devices. Topics include characterising MRAM stochastic behaviour, linking device-level statistics to probabilistic algorithms, building theoretical grounding in Bayesian and Ising models, and using simulation/emulation plus profiling frameworks for energy, latency, and throughput. Benchmark workloads mentioned include TinyML, edge vision, and federated learning.

This is a fully funded PhD for 3.5 years. Funding covers full tuition fees, an annual stipend at UKRI rates, an additional London allowance, and associated costs such as training. The opportunity is open to UK and international students, but the advert notes that visa costs are not supported.

Eligibility highlights: a bachelor's degree in a relevant subject with a 2:1 or 1st is essential; a master's degree in a relevant subject is optional. Applicants should have a strong background in Computer Science or a related field, be self-motivated, communicate well, and be enthusiastic about the project. If applicable, IELTS 6.5 overall with at least 6.5 in each component or equivalent is required.

Project start date is January 2027. Shortlisted candidates are expected to be interviewed in November 2026. Applications are reviewed on a rolling basis, so early submission is encouraged. Apply via the job page using reference R143025 and upload a single PDF CV plus covering letter.

Funding details

Fully funded PhD studentship for 3.5 years covering full tuition fees, an annual stipend at UKRI rates, an additional London allowance, and associated costs such as training. The post notes that visa costs are not supported.

What's required

Bachelor's degree in a relevant subject with a 2:1 or 1st class degree is essential; a master's degree in a relevant subject is optional. Applicants should have a strong educational background in Computer Science or a related subject, be self-starters, have good communication skills, be excited about the project area, and be willing to challenge themselves. If applicable, IELTS 6.5 overall with at least 6.5 in each component or equivalent is required.

How to apply

Apply via the Apply button on the job page and reference application code R143025. Upload a single PDF containing your CV and a covering letter explaining how you meet the requirements and why you are interested in the project.

More information can be found here

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