Back to search results

Postdoctoral Research Assistant(s) in Fundamental AI Research

University of Oxford - Department of Engineering Science

Location: Oxford
Salary: £39,424 to £47,779 per annum: Grade 7
Hours: Full Time
Contract Type: Fixed-Term/Contract
Placed On: 16th September 2026
Closes: 9th October 2026
Job Ref: 188765

Central Oxford

We are seeking two full-time Postdoctoral 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. You will be responsible for researching and developing novel algorithms and techniques to achieve the project’s objectives, with a particular emphasis on efficient and safe learning approaches for collaborative multi-agent reinforcement learning tasks. You will contribute to advancing BOLD’s research capabilities and play an active role in expanding its research portfolio. BOLD has three initial research pillars: Beyond Backpropagation, Human-Centric Learning & Discovery, and Embodied Learning. 
 
The role includes implementing developed techniques and algorithms in high-quality software that adheres to group standards and evaluating them on large-scale benchmarks. You will take an active role in maintaining and further developing the lab’s research codebase. 
You will contribute to the supervision and mentorship of DPhil students, CDT students, fourth-year project students, and interns. You will also participate actively in the day-to-day activities of the BOLD Lab, including providing technical guidance to students and engaging in reading groups and other scholarly activities. 
The position involves writing research papers for submission to leading journals and conferences, presenting work at national and international venues, and contributing to scientific reports and publications. You will also support the BOLD Lab’s industrial partnerships through site visits, technical demonstrations, and meetings, and assist in the preparation of project reports and grant proposals. 
 
You should possess a PhD or DPhil (or near completion of) in Machine Learning or Maths. 
 
Informal enquiries may be addressed to boldexec-team@eng.ox.ac.uk  
 
For more information about working at the Department, see www.eng.ox.ac.uk/about/work-with-us/ 
 
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
•       multi-agent learning
We value your feedback on the quality of our adverts. If you have a comment to make about the overall quality of this advert, or its categorisation then please send us your feedback
Advert information

Type / Role:

Subject Area(s):

Location(s):

Job tools
 

PhD Alert Created

Job Alert Created

Your PhD alert has been successfully created for this search.

Your job alert has been successfully created for this search.

Ok Ok

PhD Alert Created

Job Alert Created

Your PhD alert has been successfully created for this search.

Your job alert has been successfully created for this search.

Manage your job alerts Manage your job alerts

Account Verification Missing

In order to create multiple job alerts, you must first verify your email address to complete your account creation

Request verification email Request verification email

jobs.ac.uk Account Required

In order to create multiple alerts, you must create a jobs.ac.uk jobseeker account

Create Account Create Account

Alert Creation Failed

Unfortunately, your account is currently blocked. Please login to unblock your account.

Email Address Blocked

We received a delivery failure message when attempting to send you an email and therefore your email address has been blocked. You will not receive job alerts until your email address is unblocked. To do so, please choose from one of the two options below.

Max Alerts Reached

A maximum of 5 Job Alerts can be created against your account. Please remove an existing alert in order to create this new Job Alert

Manage your job alerts Manage your job alerts

Creation Failed

Unfortunately, your alert was not created at this time. Please try again.

Ok Ok

Create PhD Alert

Create Job Alert

When you create this PhD alert we will email you a selection of PhDs matching your criteria.When you create this job alert we will email you a selection of jobs matching your criteria. Our Terms and Conditions and Privacy Policy apply to this service. Any personal data you provide in setting up this alert is processed in accordance with our Privacy Notice

Create PhD Alert

Create Job Alert

When you create this PhD alert we will email you a selection of PhDs matching your criteria.When you create this job alert we will email you a selection of jobs matching your criteria. Our Terms and Conditions and Privacy Policy apply to this service. Any personal data you provide in setting up this alert is processed in accordance with our Privacy Notice

 
 
More jobs from University of Oxford

Show all jobs for this employer …

More jobs like this
Join in and follow us

Browser Upgrade Recommended

jobs.ac.uk has been optimised for the latest browsers.

For the best user experience, we recommend viewing jobs.ac.uk on one of the following:

Google Chrome Firefox Microsoft Edge