Fully Funded PhD Scholarship in Computer Science

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Website Northeastern University London

Scholarship Overview: Fully Funded PhD in Computer Science

Northeastern University London (NU London) is offering a prestigious, fully-funded PhD studentship focused on Hardware-Software Co-Design for Efficient AI in IoT and Networked Systems. This research aims to solve one of the biggest challenges in modern computing: making powerful AI models run efficiently on small, energy-constrained devices (the “Edge”). As part of a global research network spanning the UK, US, and Canada, the successful candidate will work at the intersection of AI architecture and emerging hardware.

Scholarship Summary

  • Provider: Northeastern University London (NU London)

  • Project Title: Hardware-Software Co-Design for Efficient AI in IoT

  • Location: St Katharine Docks (Tower Bridge), London

  • Duration: 3.5 Years (Full-time)

  • Start Date: October 2026

  • Closing Date: 1 April 2026 (23:59)

  • Reference: R138635

The Research Project

The goal is to develop scalable, energy-efficient AI accelerators for resource-constrained environments by jointly optimizing AI models and hardware.

Key Research Pillars:

  • Co-Design: Simultaneously designing neural architectures and memory hierarchies for maximum efficiency.

  • Model Compression: Techniques like pruning, quantization, and knowledge distillation to “shrink” AI without losing accuracy.

  • Hardware Acceleration: Utilizing FPGAs, ASICs, and emerging In-Memory Computing platforms.

  • Benchmarking: Testing performance on real-world edge workloads like TinyML and federated learning.

Funding & Benefits

This scholarship follows UKRI funding rates and includes:

  • Tuition Fees: 100% coverage for 3.5 years.

  • Stipend: An annual living allowance plus a specific London Allowance.

  • Training & Costs: Funding for associated research training and professional development.

  • Global Networking: Opportunities to visit and collaborate with Northeastern’s massive North American network (Boston, Silicon Valley, Seattle, etc.).

  • Facilities: Access to a brand-new, high-tech campus on the River Thames.

Candidate Requirements

  • Academic Background: 2:1 or 1st class Bachelor’s degree in Computer Science, Electronic Engineering, or a related field (Essential). A Master’s is optional but advantageous.

  • Technical Interest: A passion for hardware efficiency, IoT systems, and neural network optimization.

  • Mindset: A “self-starter” with an inquiring mind and strong communication skills.

  • Language: IELTS 6.5 overall (minimum 6.5 in each component) if applicable.

  • Nationality: Open to both UK and International students. Note: Visa costs are not covered by the scholarship.

Supervisory Team

The project features an expert, multi-institutional supervisory team:

  • Lead Supervisor: Bipin Rajendran (NU London) – Expert in neuromorphic computing and emerging memory devices.

  • Co-Supervisor: Christos Efstratiou (University of Kent) – Specialist in ubiquitous computing and networked systems.

Application Process

  1. Preparation: Prepare a CV and a Covering Letter explaining your interest in hardware-software co-design.

  2. Inquiry: Informal enquiries can be sent to b.rajendran@nulondon.ac.uk.

  3. Submission: Apply via the NU London portal using reference R138635 by April 1st, 2026.

  4. Selection: Shortlisted candidates will be interviewed in May 2026.

About Northeastern University London

NU London represents the European wing of a top-tier US research powerhouse. While the PhD is a UK qualification, the “Global Campus” model allows students to leverage Northeastern’s $230m+ annual research funding and its status as a leader in experience-driven learning. The London hub at Tower Bridge provides a vibrant, interdisciplinary environment for doctoral researchers to thrive.

Expert Guide: Finalizing Your 2026 London Engineering & AI Analysis

This scholarship is the 48th entry in your comprehensive dataset, serving as the “Systems & Hardware” anchor for your research. To wrap up this project, consider these four final syntheses:

  1. The “AI Research” Tiers: Compare this Systems PhD (Stipend + Allowance) against the NU London “Reliable What-If” PhD and the UWL Senior Research Fellow (£61k).

  2. The Edge Computing Map: A final look at the 2026 London “Edge AI” cluster: NU London (Hardware), KCL (Robotics), and UCL (Algorithms).

  3. UKRI vs. Private Funding: An analysis of why institutions like Northeastern and City St George’s are increasingly using UKRI-aligned rates for high-tech recruitment.

  4. The “Global PhD” Advantage: A summary of how the 2026 NU London model differs from traditional UK doctorates through its mandatory international engagement.

    Northeastern University London: A Global Campus Pioneer

    Northeastern University London (NU London) is a distinctive academic institution that serves as the European flagship for Northeastern University’s global network. Formerly known as the New College of the Humanities (NCH), it fully integrated into the Northeastern system in 2019. By 2026, it has become a central hub for experiential learning, bridging the gap between traditional British liberal arts and the practical, co-op-driven model of a top-tier U.S. research university.

    The culture at NU London is defined by global mobility, interdisciplinary agility, and professional readiness. It is a high-energy environment where students can earn dual UK and US degrees, moving seamlessly between London and Boston. The campus vibe is intimate but connected, characterized by small-group “tutorials” combined with the extensive resources of a 14-campus global system.

    Key University Highlights (2026)

    Feature Details
    Global Ranking 384th in the World (QS 2026)
    Degree Model Double Degree Option: UK-validated (3 years) + US-validated (1 extra year in Boston)
    Signature Program London Scholars: ~1,000+ first-year students spending Year 1 in London
    Teaching Model Small class sizes and a personalized academic advisor for every student
    Employability High integration of credit-bearing Co-ops and industry placements
    Tuition (2026 Entry) Home: £9,250 – £9,535; International: ~£22,250 – £28,411 per year

    Central London Campus Hubs

    As of 2026, NU London operates from several high-tech buildings located in the historic and financial heart of the city.

    • Devon House (St Katharine Docks): The 48,000 sq. ft. flagship building located at the marina. It features “Heartspace” for guest speakers (like Coldplay’s Will Champion), silent study zones, a film and podcast studio, and a terrace with iconic views of Tower Bridge.

    • One Portsoken (Aldgate): Located in the City’s financial district, this building houses cutting-edge science labs, a makerspace, and “huddle rooms” with 360-degree views of the London skyline.

    • Start-up Hub: A dynamic workspace that connects students with entrepreneurs, even featuring preserved sections of the original Roman London Wall.

    • Marble Quay: A professional workspace overlooking the marina, specifically serving staff and PhD researchers.

    The “Northeastern” Edge: Unique Pathways

    The university is famous for its “mobility pathways,” allowing students to customize their global education.

    1. London Scholars: This year-long program brings over 1,000 first-year students from the global network to spend their entire first year in London before transitioning to the Boston campus.

    2. N.U.in Program: A specialized first-semester study abroad program where students use London as a cultural gateway before matriculating to their home campus.

    3. Experiential Learning: Every degree uses the city as a classroom—from studying law in the UK courts to West End theatre visits and co-ops with global firms like Amazon or local challenger brands.

    4. Double Degrees: Students can earn a UK-validated degree and a US-validated degree in the same discipline by completing a fourth year in Boston, gaining work rights in both markets.

    Academic Portfolio (2026)

    NU London emphasizes “humanics”—the intersection of human literacies with technology and data.

    • Undergraduate: Degrees in Business, Computer Science, Data Science, Philosophy & AI, Economics, Law, and Psychology.

    • Postgraduate: Master’s programs in Artificial Intelligence, Ethics, Creative Writing, Sustainability, and Project Management.

    • Integrated Apprenticeships: Degree-level apprenticeships in Digital Transformation and Clinical Trials, allowing students to work while they learn.

To apply for this job please visit www.nulondon.ac.uk.