Vacancies

The School of Informatics at the University of Edinburgh invites applications for several Post-Doctoral Research Associates (PDRAs), to do research on novel architectures for Large Language Models, under the supervision of Professors Frank Keller, Mirella Lapata, Amos Storkey, and Ivan Titov.

Five fpositions are part of the Science of Fundamental AI Research (SOFAIR) Lab, a partnership between UCL and the Universities of Cambridge, Edinburgh, and Oxford. SOFAIR is one of two new national AI research labs funded as part of a £60 million investment from UK Research and Innovation (UKRI). SOFAIR will bring together researchers from across computer science, mathematics, statistics and neuroscience to explore new AI architectures and those designed to run on widely available hardware. This will mean cutting-edge AI will be more widely accessible for everyone, including researchers and institutions.

As a Systems Developer and Administrator, you will play an important role in supporting the research and teaching computing needs of the School of Informatics. The School is the largest institution of this kind in the UK and one of the largest in Europe. It carries out research in a wide range of areas including computing science, AI, robotics, security and quantum computing. This is an exciting opportunity for someone seeking to develop their knowledge and skills in system administration, service development and technical support. In this role you will assist with management of the School’s GPU compute clusters, specifically the deployment for taught postgraduate students, contribute to the maintenance and development of local infrastructure and services, and assist users of the clusters and other local services.

The University of Edinburgh has been awarded a generous donation from Amazon to conduct a study on the trustworthiness of AI/ML tools used in hiring and recruitment. The research will investigate the fairness and adversarial robustness of machine learning systems deployed in the recruitment space, such as automated resume screening, candidate assessment, and the detection of fraudulent, machine-generated applications.

We are seeking a motivated Research Assistant (RA) with expertise in cyber security and privacy in applied research. Strong software engineering skills and good knowledge of ML/AI software development stacks are essential. The RA’s work will mostly consist of implementing experiments designed in collaboration with, and under the direct supervision of Dr Marc Juarez and a PhD student in the School.

Push the boundaries of Agentic AI trustworthiness at the intersection of cryptography, privacy enhancing technologies (PETS), agentic systems, and automated verifiable design.

We are hiring four research assistants (pre-doc or equivalent) to join our teaming working building/implementing an agentic security stack that decomposes tasks by security/privacy risks/requirements and functionality boundaries, translates sub-task user requirements into formal specifications, selects or generates suitable cryptographic protocols (e.g. secure comms, MPC, ZK), and verifies their properties (with LEAN, Proverif, etc.). Its goal is an end-to-end workflow in which agents (from orchestrators to sub-agents) can negotiate security needs and connect verified protocol descriptions to executable multi-agent interactions.