Research Assistant (Fixed Term)

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.

CFI is a highly interdisciplinary research centre addressing the challenges and opportunities posed by artificial intelligence (AI), in both the short and long term. CFI is based at the University of Cambridge, with partners in Imperial College London, and UC Berkeley, and close links with industry and policymakers. More information is available at: https://www.lcfi.ac.uk/.

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.

For more information on how to apply, please click the 'Apply' button, above.

If you would like more information about the role, informal enquiries can be directed by email to Dr Lorenzo Pacchiardi om lp666@cam.ac.uk or if you have questions about the application process, please contact The School's HR Team on sahhr@admin.cam.ac.uk.

The closing date for applications is midnight (GMT) on Sunday 17 November 2024. Interviews are planned for the end of November 2024/early December 2024, subject to change.

To apply online for this vacancy and to view further information about the role, please click the 'Apply' button, above.

Please quote reference GO43806 on your application and in any correspondence about this vacancy.

The University actively supports equality, diversity and inclusion and encourages applications from all sections of society.

The University has a responsibility to ensure that all employees are eligible to live and work in the UK.

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