Each month, we provide up to £2,000 in grant money to early career researchers in quantitative disciplines.
Our aim is to support and assist PhD students and postdocs conducting research, particularly with costs that may be difficult to get funding for elsewhere, for example, travel for those who are caring for children, or expenses for volunteer work related to research.
Learn more about our grant programme, including how you can apply and the work we support.
Read on to hear from our latest winners, their research and how our grants will aid their work.
August grant winners
Lucas Schorling (University of Oxford)
“My research interests focus on developing machine learning algorithms to tune and control quantum devices, ranging from meta-learning to Bayesian optimization.
“The travel grant enables me to present my work at SpinQubit6 and learn more about the latest progress and problems in this research area. This will give me many new insights on how to tackle tuning quantum computers with classical machine learning.”
Tim Xiao (University of Tübingen / MPI-IS)
“I am a PhD student at the University of Tübingen and Max Planck Institute for Intelligence Systems. Currently, I am interested in a new machine learning framework called Verbalized Machine Learning, which treats an LLM with a text prompt as a function parameterized by the text prompt.
“I am honoured to receive the G-Research grant. It will support me in running comprehensive large scale experiments with Verbalized Machine Learning using the state-of-the-art LLMs, such as GPT-4o and Claude.”
Laura Ruis (University College London)
“I am an Artificial Intelligence researcher broadly interested in the relationship between language and intelligence – more specifically I work on understanding how current Large Language Models work.
“The G-Research grant will support my research by allowing me to travel to NeurIPS 2024 in Vancouver later this year. Joining the conference is an excellent opportunity to meet overseas researchers and discuss AI.”
Tamara Evstafyeva (University of Cambridge)
“I am a numerical relativist working on testing our understanding of gravity and the nature of compact objects using gravitational waves.
“My recent work focused on using high performance computing to model exotic compact object coalescences in the strong gravity regime and employing Bayesian inference to assess the ability of current gravitational wave interferometry to detect them.
“Thanks to the G-Research monthly grant I will able to present my work at a conference as an invited speaker and establish new collaborations. As an early-career researcher this is an invaluable opportunity for me and I thank G-Research for the financial support.”
Congratulations to all of our grant winners.
