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Feuer International Scholarship in Artificial Intelligence

The Feuer International Scholarship in Artificial Intelligence (MPhil/PhD) is prestigious and highly competitive.

It is funded by successful Warwick alumnus Jonathan Feuer, and was established to create a group of extremely talented, academically brilliant, world-leading young researchers who will go on to have careers in the field of Artificial Intelligence.

If you are awarded a Feuer Scholarship for your PhD fees and stipend, you will have the chance to work alongside Warwick’s Turing fellows and with world-leading academics and experts at the Alan Turing Institute in London.

You will also have access to industry partners, mentoring and potential investment opportunities.

What is funded on the Artificial Intelligence Scholarship?

The Feuer International Scholarships in AI offer a generous funding package which includes;

  • Full MPhil/PhD tuition fees for 3 years (home/EU or overseas)
  • Stipend at UKRI rate plus a top up of £2,000 per annum (£15,009 + £2,000 in 2019/20)
  • Support for travel, equipment and research

Please note: expenses are related to studies and conference attendance.

Applying for the Feuer International Artificial Intelligence Scholarship

What are we looking for?

Applications are welcomed from outstanding PhD applicants, and the Feuer International Artificial Intelligence scholarships are open to home, EU and international applicants. In 2019 the scholarship attracted around 200 applications from 45 countries and has attracted applicants from the most prestigious institutions in the world (including Yale, Cambridge, Oxford, and MIT).

We are looking for students with aspiration as well as intellectual aptitude. You should possess an innovative approach to problem solving, well developed technical skills, a willingness to work in a cross-disciplinary training and research setting.

It is important that you are open to learning new skills, which might be outside the field of your undergraduate and/or Masters degree. You should have, or be about to graduate with a first class BSc Honours degree or international equivalent. Ideally you will also possess, or be about to be awarded a Master’s level degree.

What are the timescales for 2021 entry?

The timescales below are indicative and may alter later this year:

  • Closing Date: 22 November 2020
  • Stage 1 Decisions: End of November 2020
  • Interviews: December 2020 (via Microsoft Teams)
  • Decisions: January 2021

We will launch a second round of recruitment in January 2021 if necessary.

What is the application process?

The application process is in five stages:

Stage 1. Submit an Expression of Interest via the online application form. You will need to provide a CV, supporting statement (of no more than 1000 words) and a copy of your transcripts which can be uploaded to support the application. IMPORTANT: Please ensure that the supporting statement indicates how your background and interests align with the field of Artificial Intelligence, and which areas of Artificial Intelligence you are most interested in pursuing. All documents must be in English.

Stage 2. After we have reviewed the stage 1 application submission, you may be invited to submit a full MPhil/PhD application. This will be online via the main Warwick postgraduate application portal.

Stage 3. If you are shortlisted, you will be invited to a scholarship interview with the Department and the donor, Jonathan Feuer. This interview may be over video link if you are based overseas.

Stage 4. If you are offered the scholarship, you will need to accept your scholarship and your place at Warwick, and successfully complete the enrolment process.

Stage 5. Successful applicants will enrol and start their Feuer International Scholarship in AI in October of the year of entry.

The First Feuer International Scholars in Artificial Intelligence

Aparajita Haldar

Aparajita graduated with a dual degree of BE in Computer Science and MSc in Mathematics from BITS Pilani, Goa, India in 2018. Her key research interests are ethical machine learning; using knowledge graphs to improve data representations for natural language processing.

In the wake of the global pandemic, Aparajita's research group is
working to adapt an existing approach to developing an effective model for tracing the spread of disease through a population using a spatiotemporal event-interaction graph.

"The scholarship has opened the door for wonderful collaborative opportunities and allows me to explore the challenges and ideas that excite me.”


Harry Wilde

Harry graduated with a BSc in Data Science from the University of Warwick in 2019. During his studies, Harry spent time working in investment banking and at the Alan Turing Institute as a Data Science for Social Good Fellow, where he completed a project with the UK's largest homelessness charity (Homeless Link).

This year, Harry has worked on two grant applications. One of which has led to the receipt of funding from Microsoft to enable a collaborative effort with the JuliaLab at MIT on pandemic preparedness for the future and improvements to the modelling codebase.

“This scholarship means I can have a real impact whilst challenging
myself and collaborating with leading academics. I am immensely grateful to Jonathan Feuer for giving me this opportunity."


Oluwafunmilola Kesa

Oluwafunmilola graduated with a BSc in Computer Science at the University of Lagos in 2014 and an MSc in Information Technology at Carnegie Mellon University Africa in 2019.

Her key research interests are in the application of machine learning and computer vision in object detection and tracking. Currently, Oluwafunmilola is studying the use of traffic density as a proxy for activity level in monitoring Covid-19 outbreaks.

Her future ambition is to become an AI researcher in a global company.

"My scholarship is supporting me while I solve problems that can help millions of people."


Joe Oakley

Having studied at Warwick as an Undergraduate since 2016, Joe was eager to pursue his PhD here too. His research interests are in the design of scalable and privacy-preserving AI systems for spatio-temporal data, and their many potential real-world applications.

Joe's firm aspirations are to contribute new methods and models to the field of AI research, to engage with the relevant worldwide research communities, and to help create practical AI-based solutions to real-world problems.

“I’m thrilled that my PhD will be supported by such a generous and exciting scholarship. The research group and the Feuer Scholarship will provide the perfect platform to help me achieve my goals.”



Jenning Lim

Jenning graduated with a BSc in Mathematics and Computer Science from the University of Bristol in 2018 and an MSc in Machine Learning from UCL in 2021.

During his studies, he has conducted research on the intersection between non-parametric kernel hypothesis testing and post-selection inference. He has broad interests in machine learning and is currently working on energy-based models.