At a Glance
- Tasks: Conduct innovative research in AI and IoT, focusing on hardware-software co-design.
- Company: Northeastern University London, partnered with the University of Kent.
- Benefits: Fully funded scholarship covering tuition, stipend, and London allowance for 3.5 years.
- Other info: Open to UK and international applicants; excellent career development opportunities.
- Why this job: Join a vibrant research community and make impactful contributions to cutting-edge technology.
- Qualifications: Bachelor's degree in Computer Science or related field; Master's preferred but not essential.
The predicted salary is between 18000 - 21000 £ per year.
Northeastern University London, in partnership with the University of Kent (validation partner), is offering a fully funded PhD scholarship in Computer Science focused on Hardware-Software Co-Design for Efficient AI in IoT and Networked Systems. This full-time doctoral research opportunity spans 3.5 years, beginning in October 2026, and is open to both UK and international applicants.
The project is set within a vibrant research environment on the banks of the River Thames, providing access to interdisciplinary academic expertise and state-of-the-art facilities. The research will investigate scalable and energy-efficient AI accelerators designed for resource-constrained Internet of Things (IoT) and networked systems, combining innovations in AI model optimisation with emerging hardware architectures. The successful candidate will engage with simulation, emulation, and profiling tools to benchmark performance and energy efficiency, contributing to advancements in edge computing and intelligent systems research.
Eligibility Criteria
- A Bachelor’s degree with a strong academic record (minimum class 2:1 or equivalent) in Computer Science, Electronics, Engineering, or a related discipline.
- A Master’s degree in a relevant subject is desirable but not essential.
- English language proficiency (e.g. IELTS 6.5 overall with at least 6.5 in each component) may be required for non-native speakers.
- Applicants from all nationalities are welcome; visa support provisions should be confirmed separately.
Required Expertise / Skills
- Demonstrated academic excellence in areas such as computing systems, AI, machine learning, or related technical fields.
- Strong programming ability and problem-solving skills pertinent to hardware-software integration and optimisation tasks.
- Capacity to undertake innovative research independently while collaborating with interdisciplinary teams.
- Effective communication skills for technical documentation and research dissemination.
Salary Details
This scholarship provides full funding covering tuition fees, an annual stipend at UKRI research degree rates, and a London allowance for the duration of 3.5 years.
Application Deadline
Applications for this PhD scholarship close on 1 April 2026.
PhD Studentship – Fully Funded PhD Scholarship in Computer Science employer: RFCSR
Northeastern University London is an exceptional employer, offering a fully funded PhD scholarship in Computer Science that not only supports academic excellence but also fosters a vibrant research culture on the picturesque banks of the River Thames. With access to state-of-the-art facilities and interdisciplinary expertise, students are encouraged to innovate and grow within a collaborative environment, making it an ideal place for those seeking meaningful contributions to the fields of AI and IoT.
StudySmarter Expert Advice🤫
We think this is how you could land PhD Studentship – Fully Funded PhD Scholarship in Computer Science
✨Tip Number 1
Network like a pro! Reach out to current PhD students or faculty members at Northeastern University London. They can give you insider info about the programme and might even put in a good word for you.
✨Tip Number 2
Prepare for interviews by brushing up on your research ideas. Be ready to discuss how your background in Computer Science aligns with the focus on Hardware-Software Co-Design. Show us your passion for AI and IoT!
✨Tip Number 3
Don’t underestimate the power of a strong online presence. Share your projects and research on platforms like LinkedIn or GitHub. This not only showcases your skills but also makes it easier for us to find you!
✨Tip Number 4
Apply through our website for a smoother process. It’s the best way to ensure your application gets the attention it deserves. Plus, we love seeing candidates who take the initiative!
We think you need these skills to ace PhD Studentship – Fully Funded PhD Scholarship in Computer Science
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your application to highlight how your skills and experiences align with the PhD project. We want to see your passion for hardware-software co-design and AI, so don’t hold back!
Show Off Your Academic Achievements:Don’t forget to showcase your academic excellence! Include your grades, relevant coursework, and any projects that demonstrate your expertise in computing systems or AI. We love seeing what you’ve accomplished!
Highlight Your Research Skills:Since this is a research-focused position, make sure to emphasise your ability to conduct independent research and collaborate with others. Share any previous research experiences or projects that relate to the scholarship.
Apply Through Our Website:We encourage you to apply directly through our website for a smooth application process. It’s the best way to ensure your application gets the attention it deserves, so don’t miss out!
How to prepare for a job interview at RFCSR
✨Know Your Research
Dive deep into the specifics of your proposed research area. Understand the latest trends in hardware-software co-design and AI in IoT. This will not only show your passion but also help you engage in meaningful discussions during the interview.
✨Showcase Your Skills
Prepare to discuss your programming abilities and problem-solving experiences. Bring examples of past projects or research that highlight your expertise in computing systems and AI. Be ready to explain how these skills will contribute to the PhD project.
✨Practice Your Communication
Effective communication is key, especially when discussing complex technical topics. Practice explaining your research ideas clearly and concisely, as well as how you would document and disseminate your findings. This will demonstrate your ability to collaborate with interdisciplinary teams.
✨Ask Insightful Questions
Prepare thoughtful questions about the research environment, available resources, and potential collaborations. This shows your genuine interest in the programme and helps you assess if it’s the right fit for you.
