The University of Oxford has announced a generous gift from G-Research that will fund nine DPhil scholarships in the Mathematical, Physical and Life Sciences (MPLS) Division over the next three years.
The G-Research Graduate Scholarships, which will focus on advancing research in machine learning, will be distributed across four MPLS departments: the Mathematical Institute (two scholarships), Statistics* (one scholarship), Computer Science (three scholarships) and Engineering Science (three scholarships).
The funding aims to support students with proven and potential academic excellence, enabling departments to offer these prestigious scholarships to their very top candidates. By providing essential financial support, the scholarships will help unlock opportunities for talented individuals to make meaningful contributions to cutting-edge research in machine learning.
In addition to financial support, students in receipt of the scholarships will benefit from a range of career development opportunities offered by G-Research, including:
- A bi-annual career mentorship meeting with a G-Research quantitative researcher
- A place on G-Research’s Spring into Quant Finance programme during the second year of the scholarship
- Invitations to presentations and seminars
- An annual dinner hosted by G-Research
- Brand ambassador status.
Professor Jim Naismith, Head of the MPLS Division, emphasised the importance of initiatives like this: ‘Scholarships such as these are transformative, not only for the talented students who receive them but also for the academic communities they join. Thanks to the generosity of G-Research these scholarships will enable some of the brightest minds to contribute to the advancement of machine learning, a field with the potential to revolutionise so many aspects of our lives. We are deeply grateful for this support.’
A spokesperson from G-Research also commented on the partnership: ‘We are thrilled to support the University of Oxford once again in its mission to nurture future leaders in machine learning. By investing in exceptional students, we hope to accelerate progress in this critical area of research and help address some of the world’s most pressing challenges. We look forward to seeing the impact these scholars will make in the years to come.’
G-Research is a leading quantitative research and technology company, specialising in developing cutting-edge models and software for financial markets. Their commitment to advancing machine learning research and supporting future talent underscores their dedication to innovation and collaboration with the academic community.
This exciting collaboration highlights the growing importance of partnerships between academia and industry in fostering innovation and supporting the next generation of researchers.
*the Department of Statistics will be recruiting 2027/28.