AI for everyone needs
AI by you
Arnol
Meet the DeepMind scholars reimagining the future with artificial intelligence
The scholarship programme
Increasing representation in AI offers a huge opportunity for bringing diverse values, hopes, and concerns into conversations about the design and deployment of AI.
This is critical for making sure AI technologies are built to benefit everyone – and an essential part of realising AI's potential to become one of the most important technologies ever invented.
We established the scholarship programme to help build a stronger and more inclusive AI community, which can bring a wider range of experiences to the fields of AI and computer science.
Our scholarships provide financial support to students from underrepresented groups, who are seeking graduate studies in AI-related and adjacent fields. Scholars are also offered support from a DeepMind mentor, and have opportunities to attend leading AI academic conferences and DeepMind events.
Access to science
We hope to enable students and those further along in their career to achieve their full potential, regardless of their background. Our internship and scholarship programmes, created in partnership with different organisations, aim to broaden participation in science and protect the future of research and education.
Pan-African 'AI for Science' masters programme
School-age AI programmes
Teaching & learning resources
The DeepMind Academic Fellowship Program provides an opportunity for early-career researchers in the fields of Computer Science and Artificial Intelligence to pursue postdoctoral study and build the experiences and research profile that will enable them to progress to full academic or other research leadership roles in future.
Alongside financial support, DeepMind provides opportunities for fellows to be mentored by senior DeepMind researchers. DeepMind will not direct their research and fellows are free to pursue any research direction they wish.
Fellowships are open to early-career researchers who have completed a PhD in Machine Learning, Computer Science, Statistics or another relevant field by the time they start their postdoc. We particularly encourage candidates who identify as Black to apply because this group is currently underrepresented in AI research.
DeepMind has partnered with three UK universities to launch the Fellowship program. For a detailed eligibility criteria, including how to apply, check out our partner university websites or email the contacts provided.
Queen Mary University of London - Fellow in Machine Learning
University of Cambridge - Fellow in Computer Science
University College London - Fellow in Sustainable Artificial Intelligence
DeepMind established our scholarships programme in 2017 in an effort to help build a stronger and more inclusive AI community, who can bring a wider range of experiences to the fields of AI and computer science. The scholarships provide financial support to students from underrepresented groups seeking to study graduate courses relating to AI and adjacent fields. Scholars are also offered support from a DeepMind mentor, and have opportunities to attend leading AI academic conferences and DeepMind events.
Learn more about our scholarships
We have partnered with the African Institute for Mathematical Sciences (AIMS) to co-create a 'AI for Science" pan-African Masters programme. The programme will give talented students from across the region a chance to pursue advanced studies at AIMS South Africa, and connect with DeepMind's researchers and engineers for mentoring and support.
The curriculum will look at how we can use AI to better understand the world around us and accelerate progress on some of today's most fundamental and fascinating scientific challenges. It will be developed by AIMS and DeepMind, with input from four world-leading local scientific groups:
Square Kilometre Array Observatory (SKAO) and its South African partner, the South African Radio Astronomy Observatory (SARAO) an international effort to build the world's largest radio telescope;‍
Centre for Epidemic Response and Innovation (CERI) a leading epidemic and pandemic preparedness and response institute;‍
South African Centre for Epidemiological Modelling and Analysis (SACEMA), Department of Science and Innovation - National Research Foundation Centre of Excellence with a mission to improve health in Africa through epidemiological modelling and analysis.
The AI for Science programme will run from August 2023 to July 2027. Applications are now open!
Our dedication to science makes us who we are. That's why we have partnered with six education charities and social enterprises in the United Kingdom (UK) to co-create a bespoke education programme to help tackle the gaps in STEM (Science, Technology, Engineering, Mathematics) education and boost existing programmes through funding, volunteering, and new Artificial Intelligence resources.
Through our partnerships with Apps for Good, British Science Association, Raspberry Pi Foundation, Stemettes, STEM Learning and The Brilliant Club we hope to reach over 100,000 young people.
Many on our team hold university professorships and teach or supervise students at Cambridge, Oxford, MIT, Imperial, and elsewhere. Learn more about these courses on our YouTube channel or Learning resources page.
We also partner with many world-leading academic institutions to extend research and teaching capacity. So far, we've established academic chairs in machine learning at the University of Alberta, UCL, and the University of Cambridge.
We firmly believe that everyone should feel able to participate in science and we are committed to supporting organisations that create community and advance diversity within the sector. Our team members regularly dedicate their time and expertise to advancing discussions about AI in their communities and we are proud partners of the Anita Borg Foundation, Women in Machine Learning, Black in AI, and more.
We are also founding partners of the Deep Learning Indaba, the Eastern European Machine Learning Summer School, and the AI4Good Summer Lab.
"Our vision is to help make the AI ecosystem more representative of society. The DeepMind scholarship programme aims to help extend opportunities and remove barriers for underrepresented groups so they can bring their unique perspectives and backgrounds to the exciting field of AI."
Obum Ekeke, OBE
Head of Education Partnerships
Expanding the reach of our scholarships
Universities around the world offer DeepMind scholarships to applicants for AI graduate studies. Find opportunities with our partner institutions below.
Stellenbosch University - Masters
University of Witwatersrand - Masters
Makerere University - Masters
African Institute for Mathematical Sciences (AIMS) Rwanda - PhD
Sofia University (St. Kliment Ohridski) - Masters
Institute for Computer Science, Artificial Intelligence and Technology (INSAIT) - PhD
École normale supérieure Paris-Saclay - Masters
Aristotle University of Thessaloniki - Masters
University of Warsaw - Masters
Technical University of Cluj-Napoca - Masters
University of Birmingham - Masters
University of Cambridge - Masters
University of Cambridge - PhD
Imperial College London - Masters (Computing and AI)
Imperial College London - Masters (Life Sciences)
Imperial College London - PhD
University of Oxford - Masters
University of Oxford - PhD
Queen Mary University of London - Masters
Queen Mary University of London - PhD
University College London - Masters (Neuroscience)
University College London - Masters (Science, Technology and Society)
University College London - Masters (Computer Science)
University of Edinburgh - Masters
University of Edinburgh - PhD
Istanbul Technical University - Masters
Istanbul Technical University - PhD
McGill University - Masters
University of Alberta - Masters
University of Toronto - Masters
New York University - Masters
University of California, Los Angeles - Masters
University of California, San Diego - Masters
University of California, San Diego - PhD
UNICAMP Universidade Estadual de Campinas - Masters
UNICAMP Universidade Estadual de Campinas - PhD
Universidad de Los Andes - Masters
Universidad de Los Andes - PhD
Thoughts from our scholars
Hear about the scholarship programme from some of our DeepMind scholars.
Kimberly developed the confidence and ambition to pursue a PhD during her Masters.
Kimberly's story
Aishni
Aishni grew up in India wanting to be an engineer and studying math and sciences. At the time she was the only girl enrolled in STEM classes at her high school.
Aishni's story
Yağmur's scholarship allowed her to return to university from an industry role sooner than she'd expected.
Yagmur's story
Imad believes that AI can help solve pressing challenges for many communities – including in his hometown in northern Morocco.
Imad's story
Victoria came from a non-computer-science background when she applied for a DeepMind scholarship.
Victoria's story
Sanae
Sanae was born in Morocco and attended CentraleSupélec in France after completing a two-year intensive programme in science.
Sanae's story
Gloriose
Gloriose is passionate about finding ways for AI to help sustain micro-communities.
Gloriose's story
As the first in his family to pursue higher education, Raymond navigated the academic world though his scholarship experience.
Still have questions? Find answers to some of the most common questions about the DeepMind scholarship programme.
Where are scholarships available?
Who can apply for a scholarship?
Can currently enrolled students apply?
Are the scholarships only offered in AI?
Do all of the universities offer both Masters and PhD scholarships?
What sort of financial support does the scholarship offer?
Why do you offer DeepMind mentors to scholars?
How are the scholars selected?
The DeepMind scholarships programme is available internationally, with scholarships currently offered in Brazil, Bulgaria, Canada, Colombia, France, Greece, Poland, Romania, South Africa, Turkey, Uganda, the UK, and the USA.
These scholarships aim to support talented students from groups currently underrepresented in AI by removing barriers to access as they progress from undergraduate to postgraduate study.
Scholarships are available to eligible offer holders on specific graduate courses at universities participating in the DeepMind scholarship programme. Each university runs its own application and recruitment process both for their DeepMind scholarships and relevant graduate courses, so consult university websites for details on the required qualifications to apply to these course(s) and, where relevant, any separate application process for the scholarships.
To find out which underrepresented groups are eligible for the scholarships, we recommend consulting university websites for more details, as this can vary from university to university.
Finally, as the programme is international, at any point in the year some university deadlines will have already closed for intake, whereas others will not yet be open, so please check details carefully and keep an eye on announcements.
Scholars are generally supported financially for the duration of their study, from the year they join their course. Therefore, these scholarships aim to support students from their point of entry into a graduate programme, through until they graduate, rather than partway through an existing course.
Most of the DeepMind scholarships support graduate study in AI and related fields. There are masters-level scholarships available in the UK for those interested in the impact of AI technologies on society (UCL), neuroscience (UCL) and life sciences (Imperial).
All of the universities offer masters-level funding for specific courses. Some also offer a limited number of PhD scholarships in AI and related fields. Consult the websites of the participating universities for details.
The scholarships aim to ensure that scholars receive full financial support (tuition, stipend or living costs, and a grant for necessary equipment and attendance at an academic conference). Scholars are generally supported financially for the duration of their study, from the year they join their course.
In a few cases, where graduate funding is already available through the university or department, DeepMind scholarships serve to enhance the existing funding, support the educational experience, and give the scholar the opportunity to focus more fully on their studies.
DeepMind mentoring is focused on personal development and growth. Scholars can choose to be matched with a personal DeepMind mentor, who supports the mentee to develop their confidence and pursue their goals for up to one academic year.
Mentors are not supervisors or academic advisors, and don't provide support with research topics or directions, but do aim to help the mentee to build skills that will help them succeed in their graduate course and beyond.
Each university offering DeepMind scholarships manages its own application process and recruitment timelines, so further information, such as eligibility or relevant course deadlines, should be explored via university websites. Eligible scholarship recipients are selected from the individual university's offer-holder pool for qualifying courses; DeepMind does not select scholarship recipients.