Research Assistant; s) in Fundamental AI Research Closing date
Listed on 2026-09-22
-
Research/Development
Research Assistant/Associate, Research Scientist, Biomedical Science
Oxford, United Kingdom
ENGINEERING SCIENCE
Careers
Research Assistant(s) in Fundamental AI Research
Salary
35681 - 41636
Closing date
Oct 09, 2026 12:00PM
Share on Blue Sky
Share on Facebook
Share on Linked In
DescriptionWe are seeking two full-time Research Assistants to join the BOLD Lab at the Department of Engineering Science (central Oxford). The post is funded by EPSRC and is fixed-term for 12 months.
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 Back propagation, Human-Centric Learning & Discovery, and Embodied Learning.
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.
Informal enquiries may be addressed to
For more information about working at the Department, see
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
- multi-agent learning
Contact name
Contact email
(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).