Research Assistant(s) in Fundamental AI Research
University of Oxford, Oxford
Research Assistant(s) in Fundamental AI Research
£35681-£41636
University of Oxford, Oxford
- Full time
- Temporary
- Onsite working
Posted 1 week ago, 17 Sep | Get your application in now before you miss out!
Closing date: Closing date not specified
Job ref: c5beeaa9a984414c830d3c5ea6096405
Location ref: Oxford
Full Job Description
You will be responsible for running experiments to test deep learning models at scale, organising the results, and extracting insights in the process. In this highly collaborative role, you will be working with other researchers in the team to support BOLD's development and research portfolio and in the maintenance and development of the research code base.
You should possess a a relevant first degree together with relevant experience and possess sufficient specialist knowledge in the fundamental AI research to work within established research programmes.
This is an opportunity to join The British Open-ended Learning and Discovery (BOLD) Lab, a major new UK Research and Innovation (UKRI) funded initiative that will establish a world-leading AI research laboratory at the University of Oxford. Bringing together more than 80 researchers from Oxford, UCL and Imperial under one unified vision, BOLD Lab will pursue ambitious, high-risk research to advance the fundamental science of artificial intelligence and address some of the field's most important challenges. BOLD has three initial research pillars: Beyond Backpropagation, Human-Centric Learning & Discovery, and Embodied Learning., Only online applications received before midday on 9 October 2026 can be considered. You will be required to upload a covering letter/supporting statement, including a brief statement of research interests (describing how past experience and future plans fit with the advertised position), CV and the details of two referees as part of your online application. The Department holds an Athena Swan Bronze award, highlighting its commitment to promoting women in Science, Engineering and Technology.
- Agentic AI
- Human-AI coordination
- Zero-shot Coordination