NUL
Northeastern University London Fully Funded PhD Scholarship in Computer Science: Hardware-Software Co-Design for Efficient AI in IoT and Networked Systems
✓ Fully Funded
⏰ Closing Soon
🎓 Artificial Intelligence
🎓 Computer Science
🎓 Electronic Engineering
🎓 Internet of Things
🎓 Networks
IoT
AI hardware-software co-design
ASIC
FPGA acceleration
TinyML
edge AI
energy-efficient AI
federated learning
model compression
neural network optimization
This fully-funded PhD at NU London focuses on developing scalable, energy-efficient AI accelerators for IoT and networked systems through hardware-software co-design. The research combines AI model optimization, emerging hardware architectures, and performance modeling for edge applications.
Project Description
The project will explore joint optimization of AI models and hardware platforms to enable resource-efficient deployment in constrained IoT and networked systems. Key research areas include:
Co-design of neural architectures, memory hierarchies, and communication systems
Model compression and optimization (pruning, quantization, knowledge distillation)
FPGA- and ASIC-based acceleration, including in-memory computing
Performance and energy modeling using simulation, emulation, and profiling tools
Benchmarking on representative edge workloads, including TinyML, edge vision, and federated learning
Students will benefit from NU London’s interdisciplinary campus environment, opportunities for international collaboration, and guidance from a multi-institution supervisory team including 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 “R138635”. 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: b.rajendran@nulondon.ac.uk
by 01 April 2026, referencing project “R138635”. 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: b.rajendran@nulondon.ac.uk
Eligibility
UK/Home
EU
International
Supervisor Profile
PB
Prof Bipin Rajendran, Dr Christos Efstratiou
Northeastern University London, Faculty of Computing, Mathematics, Engineering & Natural Sciences
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