DeepMind - Scholarships

Deadline: As soon as possible

Scholarships

Undergraduate Master PHD PostDOC Fellowship & Research

Location(s)

  • Bulgaria
  • Canada
  • Colombia
  • France
  • Greece
  • Poland
  • Romania
  • South Africa
  • Turkey
  • United Kingdom
  • United States of America

Overview

DeepMind was founded in London in 2010, and we joined forces with Google in 2014 to accelerate our work. We’ve always been fascinated by human intelligence – it shaped the modern world we live in today. Intelligence allows us to learn, imagine, cooperate, create, communicate, and so much more. By better understanding different aspects of intelligence, we can use this knowledge as inspiration to build novel computer systems that learn to find solutions to difficult problems on their own. We established the scholarship programme 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.

Details

When we started DeepMind in 2010, there was far less interest in the field of AI than there is today. To accelerate the field, we took an interdisciplinary approach, bringing together new ideas and advances in machine learning, neuroscience, engineering, mathematics, simulation and computing infrastructure, along with new ways of organising scientific endeavour.

Increasing representation in AI offers a huge opportunity to bring diverse values, hopes, and concerns into conversations about the design and deployment of AI – and this is critical if AI is going to be a technology that benefits everyone. We also believe this is key to the potential for AI being one of the most important technologies ever invented.

To ensure AI is of global benefit, talent must be nurtured in regions which are currently underrepresented in AI research, and space for geographically and socially diverse, local contributions to the field must be made. We know that increasing access to further education is only one part of addressing the deep-seated structural imbalances in AI, but it is an important one and we are happy to be able to contribute.

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.

Scholarships are offered by participating universities directly to applicants for specific AI-related courses. Universities make information about upcoming DeepMind scholarships available when these opportunities are open.

DeepMind partners with a range of world-leading universities with the aim of extending research excellence and teaching capacity. We’ve established academic chairs in machine learning at the University of Alberta, University College London, and the University of Cambridge, offering unrestricted funding for world-renowned researchers to freely pursue their academic interests. These chairs will be supported in their research and teaching efforts by PhDs students. And many of our researchers hold dual affiliations, allowing them to continue teaching or supervising students at Cambridge, Oxford, Imperial, MIT, McGill and elsewhere (you can access some of these courses on YouTube). 

Opportunity is About


Eligibility

Candidates should be from:


Description of Ideal Candidate

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.

In each region, given local circumstances, individual universities may offer scholarships to students from varying underrepresented groups. Very broadly, these groups may span gender, race, ethnicity, and socio-economic background, as well as students from certain regions with lower AI participation (such as Africa, Eastern Europe, and Latin America).


Dates

Deadline: As soon as possible


Cost/funding for participants

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.

What sort of mentoring does DeepMind provide to scholars?

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. DeepMind mentoring is focused on personal development and growth. 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.

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