Job Description

UE06: £34,610.00 - £39,906.00 Per Annum.

College of Science and Engineering / School of Informatics.

Full Time – 35 hours per week.

Fixed term contract - 1 year fixed term contract.

The Opportunity:

Don’t just see the bigger picture, help create it

The University of Edinburgh is a world-class organisation. We look for the best in the field across all disciplines and provide a working environment where academics can develop their careers and passion for their chosen subject area. We offer the full range of academic roles and have a genuine focus on our students performance and wellbeing.

The School of Informatics, University of Edinburgh invites applications for a Research Associate to work on an ARIA TA3 project “Breaking Down the Compute Graph Step by Step: A scalable and modular simulation”. This project, co-led by teams from the University of Edinburgh, Imperial College London, and the University of Cambridge, focuses on the development of a scalable and modular performance simulation framework for future systems.

Candidates must have an undergraduate degree or M.Sc. in Computer Science or related field and a strong research track record demonstrated through publications at top-tier venues. We are looking for a highly motivated candidate with strong initiative and commitment to excellence, and an ability to conduct world-class research in a team setting.

Your skills and attributes for success:

Essential

• Strong background and expertise in computer systems, distributed systems, computer architectures, machine learning systems.
• Experience and evidence of effective independent research work within an interdisciplinary team. More broadly, demonstrated ability to lead, design and complete research projects, to solve problems independently and make original contributions to research.
• Excellence in written and oral communication, analytical, planning, and time management skills.
• Publications in top computer system venues, such as OSDI, SOSP, NSDI, ASPLOS and related conferences.

Desirable

• A master or in final stage of a PhDin computer science or a related discipline, with excellent technical expertise and experience in the areas of Data Science and Informatics as defined by the Bayes Centre and Huawei.

Contact details for enquiries: Luo Mai (luo.mai@ed.ac.uk)

People have always been at the heart of our work. As part of the University, you are a part of our community. We are looking for people with drive, determination, and a passion for what they do. We are a place where everyone is welcome and offer a range of policies and benefits designed to support you in building the right meaningful/personalised flexibility for you.

A career with us has a range of other benefits that can be tailored to your lifestyle:

• Professional development and subject matter expertise
• Leading-edge research
• Opportunities for publication
• Working within one of the world’s leading universities.

This post is full time (35 hours per week); We are also open to considering requests for hybrid working (on a non-contractual basis) that combines a mix of remote and regular on-campus working.

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How to apply

Please include the following documents in your application:

- CV

- Cover letter

As a valued member of our team, you can expect:

• A competitive salary.
• An exciting, positive, creative, challenging and rewarding place to work.
• To be part of a diverse and vibrant international community.
• Comprehensive Staff Benefits, including generous annual leave entitlement, a defined benefits pension scheme, a wide range of staff discounts, family-friendly initiatives, and flexible work options. Check out the full list on our staff benefits page (opens in a new tab) and use our reward calculator to discover the value of your pay and benefits.

Championing equality, diversity, and inclusion

The University of Edinburgh holds a Silver Athena SWAN award in recognition of our commitment to advance gender equality in higher education. We are members of the Race Equality Charter, and we are also Stonewall Scotland Diversity Champions, actively promoting LGBT equality.

Prior to any employment commencing with the University, you will be required to evidence your right to work in the UK. Further information is available on our right to work webpages (opens new browser tab).

The University is able to sponsor the employment of international workers in this role. If successful, an international applicant requiring sponsorship to work in the UK will need to satisfy the UK Home Office’s English Language requirements and apply for and secure a Skilled Worker Visa.

Key dates to note

The closing date for applications is 23 June 2026.

Unless stated otherwise the closing time for applications is 11:59pm UK time. If you are applying outside the UK the closing time on our adverts automatically adjusts to your browsers local time zone.

As a world-leading research-intensive University, we are here to address tomorrow’s greatest challenges. Between now and 2030 we will do that with a values-led approach to teaching, research and innovation, and through the strength of our relationships, both locally and globally.