AddressAre you passionate about understanding what drives innovation? Are you looking for an opportunity to leverage Data Science methods and tools to analyse the scientific process?
We are looking for a Research Assistant/Research Associate to join our team, developing a new project that explores the Data Science of Science.
The Science of Science community uses the tools of Science to understand what influences the rate and direction of scientific activity, through interdisciplinary study of the conduct of research. The Data Science of Science project will identify the infrastructures needed to deploy Data Science and AI for the Science of Science, and develop tools to support this deployment. The project starts from the hypothesis that a data-enabled understanding of the lifecycle of a research project would deliver value for a range of R&D stakeholders. It will proceed by convening pilot studies that tackle the practical obstacles to deploying Data Science and AI and that demonstrate the value of Data Science for science in real-world applications. This might include research to develop innovative methods for data linkage, management, and analysis.
This project is part of the Accelerate Programme for Scientific Discovery, a high-profile Cambridge University initiative deploying AI in the service of Science. It is an opportunity to build a new research strand from the ground-up. The project will collaborate across disciplines and organisations to develop new research tools, deliver pilots, and build understanding of how to use data and AI for the Science of Science.
Successful applicants will be expected to have:
- A PhD in a relevant specialist subject;
- Research experience in a relevant discipline, demonstrating sufficient specialist knowledge and methods to work within established research programmes;
- Experience of working in interdisciplinary environments and strong motivation to apply AI for scientific discovery;
- Organisational skills and the ability to manage their own workload;
- Communication skills and the ability to communicate research clearly to diverse stakeholders;
- Relationship-building skills and the ability to work in multidisciplinary teams.
