The Research Assistant's main duty will be developing the tasks composing the benchmark, which will be adapted from university-level courses or built from new tasks in collaboration with industry professionals. Further, the research assistant will help with designing the overall structure of the benchmark, determining the grading criteria of the tasks, creating the interface through which the AI agents interact with the tasks, and building baseline agents based on state-of-the-art Large Language Models (LLMs).
Applicants should have, or about to obtain, a postgraduate degree or an undergraduate degree complemented by relevant experience. The degree should be in a discipline relevant to the project, including (but not limited to) computer science, artificial intelligence, statistics, and data science. We expect the successful candidate to be capable to work independently and in collaboration with others, to be organised and able to navigate large amount of information, and to possess strong programming skills (preferably in Python). Experience working with and evaluating LLMs and professional experience in data science would be beneficial but are not required. Some experience in scientific writing is desirable. All applicants should be able to demonstrate strong motivation in line with the goals of CFI and the desire to improve their research skills.
The Leverhulme Centre for the Future of Intelligence (CFI), University of Cambridge, is seeking a full-time Research Assistant to contribute to a two-year project focused on developing a benchmark for measuring the ability of Artificial Intelligence (AI) agents on real-world data science tasks. The Research Assistant will join the Kinds of Intelligence team at CFI, a multidisciplinary team comprising expertise in Computer Science, AI, cognitive science, and others. The role is fixed term until 30 September 2026.