Fully-Funded PhD in AI for International Students
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Dr Mohammad Shafiq
Published on: 03-Aug-2025

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Fully-Funded PhD in AI for International Students

Fully-Funded PhD in AI for International Students

The world needs more experts in ethical AI. From education to healthcare, companies and governments are seeking skilled minds who can build fair systems. But many talented students still struggle to access the right training, especially international students.

So, are you dreaming of a career in Artificial Intelligence? Looking for a fully-funded PhD in AI for international students? You’re in the right place. A rare chance is now open at City St George's, University of London.

UK Innovation and BHE Uni back this fully-funded PhD. The program offers not just research, but real impact. It’s more than a degree. It’s your chance to help reshape how universities admit students. This PhD aims to use ethical AI to improve fairness in education.

If you’re passionate about AI and fairness, this could be perfect for you!

Why This Fully-Funded AI PhD is a Game-Changer for International Students

The first thing most international students worry about is funding. Tuition fees are high. Living in the UK is expensive. So, this PhD changes the game as it’s already fully funded. You’ll also receive a tax-free stipend. You can focus on your research without financial stress. That’s a huge relief for many students.

This project uses ethical AI and AI bias mitigation to ensure fair selection for all. UK Innovation and BHE Uni back it up. These are two leaders in education and tech. They bring industry knowledge and global reach. So your work will get seen, used, and respected.

Here’s how this PhD compares to a typical AI PhD:

Aspect

This PhD Programme

Typical AI PhDs

Funding Coverage

100% funded: tuition + £21,000/year tax-free stipend

Often partial; international students pay large fees

Industry Partners

UK Innovation and BHE Uni

Often, none or limited

Real-World Testing

Tested on real admissions systems

Mostly lab-based, less impact

Bias Mitigation Focus

Strong focus on ethical AI and fairness

Sometimes overlooked or treated as optional

Building Unbiased AI for Fair University Admissions

Groundbreaking Research: Building Unbiased AI for Fair University Admissions

In terms of research, you’ll work on a real-world AI project with huge social value. The goal is to create an AI-powered conversational interview tool. Here’s a short breakdown of what you’ll be building:

  • Natural Language Processing (NLP) and Machine Learning (ML): Used to run real-time, smart interviews. The AI will ask questions, understand answers, and adapt based on how the candidate responds.
  • Multimodal Analysis: Goes beyond just words. The system will analyse voice tone, facial expressions, and overall emotion to gain a deeper understanding of the candidate.
  • Automated Ranking Algorithms: These tools will match each student’s responses to the university’s specific criteria.
  • Bias Mitigation Strategies: You’ll include tools that spot and remove bias in the AI system.
  • Real-World Testing: The AI system will be tested using actual university admissions data. So, your research will have real impact and practical value, right from the start.

Scholarship Benefits: Financial Security and Career Growth

This PhD offers full support, both financial and academic. You will receive a tax-free stipend of around £21,000 per year for three years. This helps with rent, food, travel, and daily expenses.

You may also choose to work as a teaching assistant during your studies. This role can give you extra income of up to £4,300 per year. Most students earn around £2,200 yearly from teaching support.

Component

Total Value (3 Years)

Stipend

£63,000

Tuition Fees

£60,000 (estimated)

Teaching Income

£6,600 (average)

Net Benefit

Over £129,000

Eligibility and Desired Skills Who Should Apply

Eligibility and Desired Skills: Who Should Apply?

This PhD is open to international applicants with strong academic records. You need a first-class degree or equivalent in a subject related to AI or computing. If your degree is in a related area like Engineering or Mathematics, you can still apply.

Having a Master’s degree with distinction will increase your chances. It shows deeper research skills and academic maturity.

Eligibility Criteria

  • A first or upper second-class BEng or MEng (or equivalent)
  • A background in computing or a closely related subject
  • Your first degree must match the topic of this research

Preferred Qualifications (Not required, but helpful):

  • A Master’s degree with Distinction from a well-known university.
  • A GRE or GMAT score.
  • A strong understanding of Python.
  • Experience with AI tools like TensorFlow or PyTorch.
  • Knowledge of machine learning and NLP research.
  • Interest in AI ethics and fairness.

You should apply if:

  • You have excellent thinking and problem-solving skills.
  • You are confident working with data and technology.
  • You can write and speak English clearly.
  • You are self-motivated and eager to do original research.
  • You want to work on ethical AI that creates real change.

How to Apply Step-by-Step Guide for Maximum Success

How to Apply: Step-by-Step Guide for Maximum Success

Applications are now open. They will be reviewed through rolling admissions. The earlier you apply, the better your chances.

Here’s how to apply in a few simple steps:

Step 1: Prepare Your Documents

You will need the following items in digital format:

  • Research Proposal (a 400-word summary explaining your project idea clearly)
  • Statement of Purpose
  • CV/Resume with a recent photo
  • Two Academic References
  • Bachelor’s and/or Master’s Degree Transcripts
  • Proof of English Proficiency
  • GRE or GMAT Score (optional but highly recommended)

Optional Materials (if available):

  • Provisional Master’s results (if you don’t have your final grade yet)
  • Employment history or work experience (if available)
  • Professional certificates or training (optional)

Step 2: Submit Your Application Online

Go to the City St George’s University of London website. Apply through the Department of Computer Science.

Step 3: Follow Up

After applying, check your email regularly. If shortlisted, you may be invited for an interview.

Tips: Take your time to prepare a thoughtful proposal and personal statement. These documents show your passion and understanding of the project.

Why This PhD Matters

This PhD program aims to start with a world-changing mission. The world is changing fast. AI in higher education is growing. But fairness still lags behind. This project aims to fix that. It uses ethical AI to reduce bias in interviews.

University admissions can be unfair. People face bias because of accents, race, or background. This PhD is building tools to change that. The system will judge people fairly. Not by where they’re from. But by how they respond.

You’ll also become part of a global movement. UK innovation is leading in AI research. By joining, you help shape future tools and policies. Your work may lead to changes in other sectors too, like hiring and healthcare.

Frequently Asked Questions

Frequently Asked Questions

Is this PhD fully funded for international students?

Yes. It covers all tuition and offers a tax-free £21,000 annual stipend.

What AI skills are prioritised?

Skills in NLP, Python, machine learning, and AI bias mitigation are key.

Can I apply without a master’s degree?

Yes. A strong BEng or MEng is enough. Prior research experience helps.

Are teaching assistantships mandatory?

No. They are optional. But they can boost income and experience.

How does this PhD address AI bias?

The system will use fairness-focused tools. It avoids human prejudice in interviews.

What’s the application deadline?

There’s no fixed date. It uses rolling admissions. Apply as early as possible.

Conclusion

This fully-funded PhD in AI for international students is a rare and powerful opportunity. It offers full financial support, expert supervision, and a meaningful research mission.

Graduates of this programme will stand out. You’ll be seen as a pioneer in ethical AI, trained under the guidance of BHE Uni and UK Innovation, two major forces in global education and technology.

These kinds of chances don’t come often. And with rolling admissions, places can fill up fast. If you’re committed to fairness, innovation, and impactful research, don’t wait.

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