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- Tasks: Support AI research projects with admin tasks like diary management and event planning.
- Company: Join the world-leading Oxford Applied and Theoretical Machine Learning group at the University of Oxford.
- Benefits: Enjoy 38 days annual leave, a pension scheme, and hybrid working options.
- Other info: Part-time role (15 hrs/week) with a focus on diversity and inclusion.
- Why this job: Be part of cutting-edge AI research that tackles global challenges and drives innovation.
- Qualifications: No specific qualifications required; enthusiasm for AI and organisation skills are key.
The predicted salary is between 28800 - 48000 £ per year.
The Oxford Applied and Theoretical Machine Learning group at the Department of Computer Science has a new opening for a Project Support Officer, working together with Professor Yarin Gal.
In this role you will provide administrative and project support to the PI and research group. This will include day-to-day administrative tasks such as diary, email, and group expense management, booking meetings, arranging events, data collection and report generation, maintaining details regarding group research outputs and website maintenance.
These tasks will be in support of research focused on AI model safety, security, reliability and robustness, as well as foundational research on frontier models. This covers topics such as uncertainty quantification and reliable decision-making, multi-agent systems, reasoning, neural network quantisation, on-device machine learning, and benchmark development.
About the research group. Machine learning (ML), or “AI” as it is referred to by the media, has been the driving force behind the most exciting recent technological advances, having its impact on fields as diverse as medical imaging, conversational agents, astronomy, and many more. The Oxford Applied and Theoretical Machine Learning (OATML) group is an energetic world-leading research group working at the core of machine learning research and its applications, located at the Computer Science department, and led by Yarin Gal, Associate Professor of Machine Learning. We are a multidisciplinary team of researchers (post-doc scientists and DPhil students), coming from diverse backgrounds including Computer Science, Maths & Stats, Engineering and Physics.
About Us
The University of Oxford is a stimulating work environment, which enjoys an international reputation as a world-class centre of excellence. Our research plays a key role in tackling many global challenges, from reducing our carbon emissions to developing vaccines during a pandemic.
The Department of Computer Science at Oxford is renowned for pioneering research and teaching across diverse fields, consistently ranking among the best in the world. Our commitment to innovation drives us to tackle complex technological and societal challenges.
What We Offer
As an employer, we genuinely care about our employees’ wellbeing and this is reflected in the range of benefits that we offer including:
• An excellent contributory pension scheme
• 38 days annual leave
• A comprehensive range of childcare services
• Family leave schemes
• Cycle loan scheme
• Discounted bus travel and Season Ticket travel loans
• Membership to a variety of social and sports clubs
This role is offered with part-time hours (15 hrs/week). This role is hybrid.
Diversity
Committed to equality and valuing diversity.
Application Process
You will be required to upload a supporting statement, CV and the details of two referees as part of your online application.
The closing date for applications is midday on 29th August 2025. Interviews are likely to take place in September.
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AI Research Group Project Support Officer employer: University of Oxford, Dept of Computer Science
Contact Detail:
University of Oxford, Dept of Computer Science Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Research Group Project Support Officer
✨Tip Number 1
Familiarise yourself with the latest research and developments in AI model safety and reliability. This will not only help you understand the context of the role but also allow you to engage in meaningful conversations during interviews.
✨Tip Number 2
Network with current or former members of the OATML group or similar research teams. Reach out on platforms like LinkedIn to gain insights about the team dynamics and expectations, which can give you an edge in your application.
✨Tip Number 3
Showcase your organisational skills by preparing examples of how you've successfully managed projects or administrative tasks in the past. Be ready to discuss these experiences in detail during the interview.
✨Tip Number 4
Stay updated on the latest tools and software used for project management and data collection in research settings. Being knowledgeable about these can demonstrate your readiness to support the research group effectively.
We think you need these skills to ace AI Research Group Project Support Officer
Some tips for your application 🫡
Understand the Role: Read the job description thoroughly to understand the responsibilities and requirements of the Project Support Officer position. Tailor your application to highlight relevant skills and experiences that align with the tasks mentioned, such as administrative support and project management.
Craft a Strong Supporting Statement: Your supporting statement should clearly outline your motivation for applying, relevant experience, and how you can contribute to the research group's goals. Be specific about your skills in areas like data collection, report generation, and managing communications.
Highlight Relevant Experience: In your CV, emphasise any previous roles or projects that involved administrative support, event organisation, or work in research environments. Mention any familiarity with machine learning concepts or tools, as this will demonstrate your understanding of the field.
Check Your References: Before submitting your application, ensure that your referees are aware and prepared to provide a reference. Choose individuals who can speak to your organisational skills and ability to work in a team, particularly in academic or research settings.
How to prepare for a job interview at University of Oxford, Dept of Computer Science
✨Understand the Research Focus
Familiarise yourself with the specific areas of research the group is involved in, such as AI model safety and uncertainty quantification. Being able to discuss these topics will show your genuine interest and understanding of the role.
✨Highlight Relevant Experience
Prepare to discuss any previous administrative or project support roles you've held, especially those related to research environments. Emphasise your organisational skills and experience with tasks like diary management and report generation.
✨Showcase Your Communication Skills
As this role involves booking meetings and arranging events, demonstrate your strong communication abilities. Be ready to provide examples of how you've effectively communicated with diverse teams or stakeholders in the past.
✨Prepare Questions for the Interviewers
Think of insightful questions to ask about the research group's current projects or future directions. This not only shows your enthusiasm but also helps you gauge if the environment aligns with your career goals.