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.
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.
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.
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:
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.
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.