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Job Description
Grade UE07: £40,497 to £49,149 per annum, pro-rata if part time
College of Science and Engineering / School of Informatics
Full-time: 35 hours per week
Fixed term: 12 months
The School of Informatics at the University of Edinburgh invites applications for a research associate (post-doc) position in the area of large-scale analytics on emerging hardware.
Job Description
Grade UE07: £40,497 to £49,149 per annum, pro-rata if part time
College of Science and Engineering / School of Informatics
Full-time: 35 hours per week
Fixed term: 12 months
The School of Informatics at the University of Edinburgh invites applications for a research associate (post-doc) position in the area of large-scale analytics on emerging hardware.
The Opportunity
The successful candidate will contribute to an industry-funded project focused on using CXL-based disaggregated memory to improve the performance of large-scale data analytics. This is an exciting opportunity to get involved in an emerging technology (CXL and memory disaggregation) with significant potential for both short- and long-term impact. Key tasks will entail characterizing a state-of-the-art CXL hardware platform, bringing up and tuning analytics workloads, identifying and evaluating relevant performance optimizations at software and hardware layers, as well as writing up and presenting findings.
Candidates must have a PhD (or nearing completion) in Computer Science or related field and a strong research track record demonstrated through publications at top-tier venues. Experience with performance characterization, workload tuning, and/or system software and databases/analytics highly desirable. 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.
This post is advertised as full-time (35 hours per week), however, we are open to considering part-time or flexible working patterns. 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.
Your Skills And Attributes For Success
* A PhD (or near completion of PhD) in Computer Science or related field.
* Excellent research track record as demonstrated through publications at top-tier conferences and/or high-impact journals.
* Experience in working in one or more of following areas: hardware benchmarking; performance characterization; workload tuning and bottleneck identification; databases/analytics software; operating systems.
* Ability to communicate complex information clearly, both orally and in writing.
* Possess high level of initiative, be detail oriented and ability to effectively work in a team setting.
* Preferably, experience in research student supervision and grant writing.
Click to view a copy of the full job description (opens new browser tab)
Application Information
Please ensure you include the following documents in your application:
* CV
* Cover letter
Contact details for enquiries: Prof. Boris Grot boris.grot@ed.ac.uk and Dr Luo Mai luo.mai@ed.ac.uk
Feedback is only provided to interviewed candidates.
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, such as a generous holiday entitlement, competitive pension schemes, staff discounts, and family-friendly initiatives. Check out the full list on our staff benefits page (opens in a new tab) and use our reward calculator to discover the total 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 21 July 2025.
Unless stated otherwise the closing time for applications is 11:59pm GMT. If you are applying outside the UK the closing time on our adverts automatically adjusts to your browsers local time zone.
About Us
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.
About The Team
Informatics is the study of how natural and artificial systems store, process and communicate information. Research in Informatics promises to take information technology to a new level, and to place information at the heart of 21st century science, technology and society. The School enjoys collaborations across many disciplines in the University, spanning all three College, and also participates as a strategic partner in the Alan Turing Institute and, with Heriot-Watt University, in the Edinburgh Centre for Robotics.
The School provides a fertile environment for a wide range of studies focused on understanding computation in both artificial and natural systems. It attracts students around the world to study in our undergraduate and postgraduate programmes, and currently has approximately 1000 undergraduate students, 320 MSc students and 350 PhD students. Informatics is one of seven schools in the College of Science and Engineering, at the University of Edinburgh. It is recognised for the employability of its graduates (demand exceeds supply), its contributions to entrepreneurship, and the excellence of its research. Since the first Research Assessment Exercise in 1986, Informatics at Edinburgh has consistently been assessed to have more internationally excellent and world-class research than any other submission in Computer Science and Informatics. The latest REF 2014 results have again confirmed that ours is the largest concentration of internationally excellent research in the UK. This contributes to our ranking in the top 15 CS departments world-wide according to the latest Times Higher Education ranking.
We aim to ensure that our culture and systems support flexible and family-friendly working and recognise and value diversity across all our staff and students. The School has an active programme offering support and professional development for all staff; providing mentoring, training, and networking opportunities.
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