Vacancies

The School of Informatics, University of Edinburgh invites applications for a 2-year Post-Doctoral Research Associate (PDRA) to do research on efficient methods for foundation models under the supervision of Dr Edoardo Ponti.

The project is fully funded by the Advanced Research and Invention Agency (ARIA)’s Scaling Compute: AI at 1/1000th the cost (TA 4 Benchmarking) £2M project. As part of this project, we aim to create a suite of next-generation benchmarks that track the fast-evolving landscape of AI, and measure the complex trade-offs across costs, accuracy, and performance on a range of state-of-the-art hardware. This project holds promise to open new avenues in developing and deploying AI models that are fast, environmentally friendly, and energy efficient.

Job Identification 13075

Contract Type Fixed Term

Apply Before 30 September 2025

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 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.

Job Identification 12694

Contract Type Fixed Term

Apply Before 06 October 2025

The TESCI Project Manager will oversee the development and expansion of the TESCI network, connecting researchers in the field of engineering and, physical sciences, formal and informal social care stakeholders, and individuals with lived experience. This role includes managing logistics, handling expenses, and leading communications through social media, press releases, and website management. The role includes working with the project Lead and steering committee to ensuring activities take place to build capacity amongst researchers, horizon scan to create a roadmap  to guide EPSRC for future funding calls, and outreach and dissemination, engaging with policy makers and ensuring EDI is integral to all activities. The role supports TESCI’s vision to create an interdisciplinary and collaborative network connecting engineers, physical scientists, social care stakeholders, and service users to identify and work to address unmet needs in social care. TESCI’s aim is to co-produce research proposals for technologies and interventions that build a more equitable and sustainable future for social care to help people live their lives well for longer, with dignity and independence. 

Job Identification 13076

Contract Type Fixed Term

Apply Before 10 October 2025

The successful candidate will contribute to an industry-funded project focused on using compilation techniques to improve the performance of inference over sparse neural networks. You will be expected to lead the research on certain aspects of the project while contributing to rest of the project (assisting in research student supervision, preparing presentations and reports for deliverables, developing related/follow-on projects). 

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 building systems for machine learning, performance tuning, and building optimizing compilers are 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.

Job Identification 13146

Contract Type Fixed Term

Apply Before 16 October 2025