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All vacancies within Computer Science Library
There are currently 6 vacancies within Computer Science Library:
| Title | Closes | Salary |
|---|---|---|
| Research Associate in Generative AI | June 26, 2025, noon | Grade 7: £38,674 - £46,913 p.a. with the potential to underfill at Grade 6 with salaries in the range of £34,982 - £40,855 p.a. |
| Research Associate on Algorithmic Comparison of Stochastic Systems | June 30, 2025, noon | Grade 7: £38,674 - £40,855 per annum |
| Systems Administrator | July 1, 2025, noon | Grade 7: £38,674 - £46,913 per annum |
| Research Associate on Rethinking Multi-agent Systems in the Era of LLMs | July 4, 2025, noon | Grade 7: £38,674 - £46,913 p.a. with the potential to underfill at Grade 6 with salaries in the range of £34,982 - £40,855 p.a. |
| Personal Assistant to the Head of Department and Head of Administration and Finance | July 7, 2025, noon | Grade 6: £34,982-£40,855 per annum pro rata for part-time (discretionary range up to £44,382) inclusive of Oxford University weighting |
| Senior Research Associate in Robust, Large-Scale Agent-Based Modelling | July 7, 2025, noon | Grade 8: £48,235 – £51,059; with the potential to underfill at Grade 7, with salaries in the range of £38,674 - £46,913 p.a. |
Research Associate in Generative AI
Closes: June 26, 2025, noon; salary: Grade 7: £38,674 - £46,913 p.a. with the potential to underfill at Grade 6 with salaries in the range of £34,982 - £40,855 p.a.
<div> <p></p><div>An exciting opportunity has arisen for a talented postdoctoral researcher to join the OATML research group to work on a Generative AI research project. The postholder will be supervised by the PI Prof Yarin Gal. The postholder will work in the Department of Computer Science at the University of Oxford, based in the Wolfson Building, Parks Road, Oxford.</div><br> <div> </div><br> <div>The postholder is expected to conduct the original research while developing the fundamental methodologies and tools in the context of real-world Generative AI challenges. </div><br> <div> </div><br> <div>As a Postdoctoral Researcher, you will lead and contribute to projects aimed at developing principled and practical methods which could be used in real systems. This research requires coping with challenges such as intractable probabilistic inference and robustness. The project will involve both theoretical work as well as empirical analysis on challenging tasks.</div><br> <div> </div><br> <div>In addition to research, this role will also assist in providing day-to-day supervision for DPhil students and research assistants, as well as support of grant applications and ongoing grant progress reporting.</div><br> <div> </div><br> <div>It is essential that successful candidate would hold a relevant PhD/DPhil or being close to completion in the relevant field together with relevant experience. </div><br> <div> </div><br> <div><strong>What We Offer</strong></div><br> <div>As an employer, we genuinely care about our employees’ wellbeing and this is reflected in the range of benefits that we offer including:</div><br> <div> </div><br> <div>•               An excellent contributory pension scheme</div><br> <div>•               38 days annual leave (pro-rata for part-time roles)</div><br> <div>•               A comprehensive range of childcare services</div><br> <div>•               Family leave schemes</div><br> <div>•               Cycle loan scheme</div><br> <div>•               Discounted bus travel and Season Ticket travel loans</div><br> <div>•               Membership to a variety of social and sports clubs </div><br> <div> </div><br> <div><strong>Diversity</strong></div><br> <div>Committed to equality and valuing diversity.</div><br> <div> </div><br> <div><strong>Application Process</strong></div><br> <div>You will be required to upload a supporting statement and an up-to-date CV as part of your online application.</div><br> <div> </div><br> <div>Your supporting statement must clearly demonstrate how you meet each of the essential selection criteria listed in the job description. Applications that do not include a supporting statement or CV, or fail to address the criteria in sufficient detail, will not be considered.</div><br> <div> </div><br> <div>While we recognise the value of AI tools in assisting with application preparation, submissions that are <strong>clearly AI-generated without personalisation or insight</strong> will be rejected. It's crucial that your application reflects your own experiences and understanding of the role.</div><br> <div> </div><br> <div>The closing date for applications is noon on 26th June 2025. Interviews are expected to be held in early July.</div> </div>Research Associate on Algorithmic Comparison of Stochastic Systems
Closes: June 30, 2025, noon; salary: Grade 7: £38,674 - £40,855 per annum
<div> <p></p><div>We are excited to offer this Research Associate position at the University of Oxford, under the supervision of Professor Stefan Kiefer. The post holder will be a member of a project team of <em>Automated Verification</em> theme in the Department of Computer Science and a research group with responsibility for carrying out research on the robustness (continuity) of equivalences in probabilistic systems. This is part of an EPSRC-funded project on <em>Algorithmic Comparison of Stochastic Systems</em>. The post holder will work closely with the Principal Investigator, Stefan Kiefer, but also with other members of a team, including a PhD (DPhil) student and an external collaborator, Prof Franck van Breugel (York University, Toronto).</div><br> <div> </div><br> <div>It is essential that successful candidate would hold a relevant PhD/DPhil or being close to completion in the relevant field together with relevant experience. </div><br> <div> </div><br> <div>The role requires a minimum of 2 days per week on-site, with flexible arrangements possible based on work requirements, such as in-person meeting attendance, and project timelines.</div><br> <div> </div><br> <div><strong>What We Offer</strong></div><br> <div>As an employer, we genuinely care about our employees’ wellbeing and this is reflected in the range of benefits that we offer including:</div><br> <div> </div><br> <div>•               An excellent contributory pension scheme</div><br> <div>•               38 days annual leave (pro-rata for part-time jobs)</div><br> <div>•               A comprehensive range of childcare services</div><br> <div>•               Family leave schemes</div><br> <div>•               Cycle loan scheme</div><br> <div>•               Discounted bus travel and Season Ticket travel loans</div><br> <div>•               Membership to a variety of social and sports clubs </div><br> <div> </div><br> <div><strong>Diversity</strong></div><br> <div>Committed to equality and valuing diversity.</div><br> <div> </div><br> <div><strong>Application Process</strong></div><br> <div>You will be required to upload a supporting statement and an up-to-date CV as part of your online application.</div><br> <div> </div><br> <div>Your supporting statement must clearly demonstrate how you meet each of the essential selection criteria listed in the job description. Applications that do not include a supporting statement or CV, or fail to address the criteria in sufficient detail, will not be considered.</div><br> <div> </div><br> <div>While we recognise the value of AI tools in assisting with application preparation, submissions that are <strong>clearly AI-generated without personalisation or insight</strong> will be rejected. It's crucial that your application reflects your own experiences and understanding of the role.</div><br> <div> </div><br> <div><strong>The closing date for applications is noon on 30th June 2025.</strong> Interviews are expected to be held in July.</div> </div>Systems Administrator
Closes: July 1, 2025, noon; salary: Grade 7: £38,674 - £46,913 per annum
<div> <p></p><div><strong>About the Role</strong></div><br> <div>We have an exciting new full-time opportunity for a Systems Administrator to join the department of Computer Science.  Reporting to the Deputy IT Manager for Infrastructure, this role is pivotal to the smooth running of the IT operations.</div><br> <div> </div><br> <div><strong>About You</strong></div><br> <div>You will have a degree in Computer Science or in relevant field with relevant experience, a good understanding of TCP/IP networks, proven expertise in enterprise Windows systems administration (both on the client and endpoint sides) and demonstrable troubleshooting skills. You will also be familiar with the operation of Windows services on top of a virtual infrastructure and cloud IaaS, and with enterprise-grade storage and backup systems operation (ideally in a large-network environment), as well as a proven record of getting involved in delivery of projects and initiatives, and excellent communications and organisational skills. </div><br> <div> </div><br> <div>You will be expected to organise your own time appropriately to provide day-to-day support effectively, as well as longer-term progress projects to meet deadlines, and maintain agreed service levels.</div><br> <div>This is a hybrid role. Your working pattern will be agreed with the line manager.</div><br> <div> </div><br> <div><strong>About Us</strong></div><br> <div>The Department of Computer Science at Oxford is a global leader in both research and teaching. We are proud of our long history, world-class reputation, and the diverse community of people that make it all possible. We are consistently ranked among the top departments globally and are committed to supporting innovation, integrity, and impact in everything we do. </div><br> <div> </div><br> <div><strong>What We Offer</strong></div><br> <div>As an employer, we genuinely care about our employees’ wellbeing, reflected in the range of benefits that we offer including:</div><br> <div> </div><br> <div>•               Excellent contributory pension scheme</div><br> <div>•               38 days annual leave (including public holidays)</div><br> <div>•               Family leave schemes</div><br> <div>•               Cycle loan scheme and discounted public transport</div><br> <div> </div><br> <div><strong>Diversity</strong></div><br> <div>Committed to equality and valuing diversity.</div><br> <div> </div><br> <div><strong>Application Process</strong></div><br> <div>You will be required to upload a supporting statement and an up-to-date CV as part of your online application.</div><br> <div> </div><br> <div>Your supporting statement must clearly demonstrate how you meet each of the essential selection criteria listed in the job description. Applications that do not include a supporting statement or CV, or fail to address the criteria in sufficient detail, will not be considered.</div><br> <div> </div><br> <div>While we recognise the value of AI tools in assisting with application preparation, submissions that are <strong>clearly AI-generated without personalisation or insight</strong> will be rejected. It's crucial that your application reflects your own experiences and understanding of the role.</div><br> <div> </div><br> <div>The closing date for applications is midday on Tuesday 1st July 2025. Interviews are expected to be held in July.</div> </div>Research Associate on Rethinking Multi-agent Systems in the Era of LLMs
Closes: July 4, 2025, noon; salary: Grade 7: £38,674 - £46,913 p.a. with the potential to underfill at Grade 6 with salaries in the range of £34,982 - £40,855 p.a.
<div> <p></p><div>The Department of Computer Science seeks to employ 2 postdoctoral researchers to work on a new project in the area of LLMs/multi-agent systems, under the direction of PI Professor Michael Wooldridge. The posts are full-time, fixed term positions: Post One is available for 18 months; Post Two is available for 12 months. Both posts are tenable immediately, to conclude before May 31st 2027.</div><br> <div> </div><br> <div>The multi-agent systems paradigm within the area of AI has been widely researched since the early 1990s, but has come to prominence recently with the emergence of Large Language Models (LLMs). The possibility of using networks of LLM-based agents to solve complex problems has shown  great potential, for example in DeepMind’s Co-Scientist System. Against this background, the goal of this project is to reframe the field of multi-agent systems in the context of contemporary LLMs. If we are successful, then we will have constructed a new “Standard Model” for multi-agent systems: one which embraces LLMs, and leverages them to their maximum advantage. More specifically, we will develop both a methodology for deploying LLMs in individual agents (an “LLM-based agent architecture”) and a methodology for building LLM-based multi-agent systems for a range of typical interaction scenarios (negotiation, evaluation, etc). Our work is expected to embrace emerging standards for LLM agents (notably MCP, A2A).</div><br> <div> </div><br> <div>Candidates will be expected to have a PhD (or be close to completion) in a related area and should indicate their special area(s) of interest from the four topics above in a cover letter. The primary selection criteria will be relevant research experience and publication track record.</div><br> <div> </div><br> <div><strong>What We Offer</strong></div><br> <div>As an employer, we genuinely care about our employees’ wellbeing and this is reflected in the range of benefits that we offer including:</div><br> <div> </div><br> <div>•               An excellent contributory pension scheme</div><br> <div>•               38 days annual leave (pro-rata for part-time roles)</div><br> <div>•               A comprehensive range of childcare services</div><br> <div>•               Family leave schemes</div><br> <div>•               Cycle loan scheme</div><br> <div>•               Discounted bus travel and Season Ticket travel loans</div><br> <div>•               Membership to a variety of social and sports clubs </div><br> <div> </div><br> <div><strong>Diversity</strong></div><br> <div>Committed to equality and valuing diversity.</div><br> <div> </div><br> <div><strong>Application Process</strong></div><br> <div>You will be required to upload a supporting statement and an up-to-date CV as part of your online application.</div><br> <div> </div><br> <div>Your supporting statement must clearly demonstrate how you meet each of the essential selection criteria listed in the job description. Applications that do not include a supporting statement or CV, or fail to address the criteria in sufficient detail, will not be considered.</div><br> <div> </div><br> <div>While we recognise the value of AI tools in assisting with application preparation, submissions that are <strong>clearly AI-generated without personalisation or insight</strong> will be rejected. It's crucial that your application reflects your own experiences and understanding of the role.</div><br> <div> </div><br> <div><strong>The closing date for applications is noon on 4th July 2025.</strong> Interviews are expected to be held in July.</div> </div>Personal Assistant to the Head of Department and Head of Administration and Finance
Closes: July 7, 2025, noon; salary: Grade 6: £34,982-£40,855 per annum pro rata for part-time (discretionary range up to £44,382) inclusive of Oxford University weighting
<div> <p></p><div><strong>About the Role</strong></div><br> <div> </div><br> <div>We are seeking a highly experienced and skilled Personal Assistant to provide comprehensive executive support to the Head of Department and Head of Administration and Finance in one of the world’s leading Computer Science departments.</div><br> <div> </div><br> <div>This is a key role at the heart of the department’s strategic leadership, ensuring smooth operations, managing complex schedules, and supporting high-level governance and decision-making. You will be a trusted gatekeeper, problem solver, and representative, someone who thrives on precision, discretion, and delivering exceptional service in a fast-paced environment.</div><br> <div> </div><br> <div>The role also includes management of the Business Administration Apprentice and developing streamlined administrative systems to ensure the office of the HoD and HAF runs efficiently and professionally.</div><br> <div> </div><br> <div>This is a fully on-site role, offered with either full-time hours (37.5 per week) or part-time hours (30 per week).</div><br> <div> </div><br> <div><strong>About You</strong></div><br> <div> </div><br> <div>You will be an experienced PA with a track record of supporting senior leaders (ideally C-suite or equivalent), managing busy diaries, juggling competing priorities, and responding to shifting demands with calm efficiency. You’ll combine outstanding organisational skills with excellent judgement, a proactive mindset, and a warm, confident presence.</div><br> <div> </div><br> <div>Your ability to handle confidential matters, make sound decisions on behalf of senior figures, and communicate clearly and professionally, both in person and in writing, will be critical to success in this role.</div><br> <div> </div><br> <div>Experience in a university or public sector environment is helpful but not essential, we are primarily seeking a PA with exceptional professional standards and proven experience managing the pressures and expectations of a high-level executive office.</div><br> <div> </div><br> <div><strong>About Us</strong></div><br> <div>The Department of Computer Science at Oxford is a global leader in both research and teaching. We are proud of our long history, world-class reputation, and the diverse community of people that make it all possible. We are consistently ranked among the top departments globally and are committed to supporting innovation, integrity, and impact in everything we do. </div><br> <div> </div><br> <div><strong>What We Offer</strong></div><br> <div>As an employer, we genuinely care about our employees’ wellbeing, reflected in the range of benefits that we offer including:</div><br> <div> </div><br> <div>•               Excellent contributory pension scheme</div><br> <div>•               38 days annual leave (including public holidays)</div><br> <div>•               Family leave schemes</div><br> <div>•               Cycle loan scheme and discounted public transport</div><br> <div> </div><br> <div><strong>Diversity</strong></div><br> <div>Committed to equality and valuing diversity.</div><br> <div> </div><br> <div><strong>Application Process</strong></div><br> <div>You will be required to upload a supporting statement and an up-to-date CV as part of your online application.</div><br> <div> </div><br> <div>Your supporting statement must clearly demonstrate how you meet each of the essential selection criteria listed in the job description. Applications that do not include a supporting statement or CV, or fail to address the criteria in sufficient detail, will not be considered.</div><br> <div> </div><br> <div>You must already have the right to work in the UK at the time of application. We are unable to sponsor visas for this post.</div><br> <div> </div><br> <div>While we recognise the value of AI tools in assisting with application preparation, submissions that are <strong>clearly AI-generated without personalisation or insight</strong> will be rejected. It's crucial that your application reflects your own experiences and understanding of the role.</div><br> <div> </div><br> <div>The closing date for applications is midday on Monday 7 July 2025 </div><br> <div> </div><br> <div>Interviews are planned for Thursday 17 July 2025 and will be face to face.</div><br> <div> </div> </div>Senior Research Associate in Robust, Large-Scale Agent-Based Modelling
Closes: July 7, 2025, noon; salary: Grade 8: £48,235 – £51,059; with the potential to underfill at Grade 7, with salaries in the range of £38,674 - £46,913 p.a.
<div> <p></p><div>An exciting opportunity has arisen for a talented postdoctoral researcher to join the Oxford Machine to work on a research project in the area of robust, large-scale agent-based modelling. The post is tenable immediately, and will be available until the end of the grant (30 September 2026). The postholder will be supervised by the PI Prof Michael Wooldridge, along with co-Investigators Prof Ani Calinescu and Prof Doyne Farmer. The postholder will work in the Department of Computer Science at the University of Oxford, based in the Wolfson Building, Parks Road, Oxford.</div><br> <div> </div><br> <div>The project is intended to substantially advance the theory and practice of agent-based modelling. The project will involve some theory, programming, and systematic experimentation – the precise focus will depend on the expertise and interest of successful candidates. In more detail, the successful candidates will work on one or more of the areas of (1) modelling languages for agent-based models (with particular interest in probalistic programming), (2) populating agent-based models with realistic agent behaviours (e.g. using machine learning techniques), (3) calibrating large-scale agent-based models and (4) validation and verification of agent-based models (e.g. using techniques from game theoretic model checking/rational synthesis)</div><br> <div> </div><br> <div>Candidates will be expected to have a PhD in a related area and should indicate their special area(s) of interest from the four topics above in a cover letter. The primary selection criteria will be relevant research experience and publication track record.</div><br> <div> </div><br> <div><strong>What We Offer</strong></div><br> <div>As an employer, we genuinely care about our employees’ wellbeing and this is reflected in the range of benefits that we offer including:</div><br> <div> </div><br> <div>•               An excellent contributory pension scheme</div><br> <div>•               38 days annual leave (pro-rata for part-time roles)</div><br> <div>•               A comprehensive range of childcare services</div><br> <div>•               Family leave schemes</div><br> <div>•               Cycle loan scheme</div><br> <div>•               Discounted bus travel and Season Ticket travel loans</div><br> <div>•               Membership to a variety of social and sports clubs</div><br> <div> </div><br> <div><strong>Diversity</strong></div><br> <div>Committed to equality and valuing diversity.</div><br> <div> </div><br> <div><strong>Application Process</strong></div><br> <div>You will be required to upload a supporting statement and an up-to-date CV as part of your online application.</div><br> <div> </div><br> <div>Your supporting statement must clearly demonstrate how you meet each of the essential selection criteria listed in the job description. Applications that do not include a supporting statement or CV, or fail to address the criteria in sufficient detail, will not be considered.</div><br> <div> </div><br> <div>While we recognise the value of AI tools in assisting with application preparation, submissions that are <strong>clearly AI-generated without personalisation or insight</strong> will be rejected. It's crucial that your application reflects your own experiences and understanding of the role.</div><br> <div> </div><br> <div><strong>The closing date for applications is noon on 7th July 2025.</strong> Interviews are expected to be held in July.</div> </div>