We are seeking to appoint a Research Fellow to contribute to the AI work package within Mobilising Evidence Through AI and User-informed Synthesis (METIUS) project supporting the responsible development and use of AI-enabled approaches for living evidence synthesis. The role will involve working with interdisciplinary teams to help design, evaluate, and implement AI-supported methods and tools that enhance the timeliness, transparency, and rigour of evidence synthesis. This may include contributing to methodological research, engaging with evidence users and stakeholders to understand their needs, supporting evaluations of AI applications, and helping to establish best practices for the safe and effective integration of AI into evidence synthesis workflows.
This post is open to internal UCL applicants only.
This post is funded on a full-time basis with an anticipated start date of 01 August 2026 until 30 September 2030. For further queries please contact n.soliman@ucl.ac.uk.
You will have a PhD in relevant discipline, or equivalent experience in a relevant field. In-depth knowledge and experience of using EPPI Reviewer and its associated machine learning tools. Successful record of effective completion of systematic review and other research projects. Proficiency in one or more relevant programming languages (e.g., Python, R, JavaScript).
Your application form should address all person specification points and clearly demonstrate how your skills and experience meet each of the criteria. It is important that the criteria are clearly numbered and that you provide a response to each one.
As well as the exciting opportunities this role presents, we also offer some great benefits some of which are below:
Visit https://www.ucl.ac.uk/work-at-ucl/reward-and-benefits to find out more.
Our commitment to Equality, Diversity and Inclusion
As London's Global University, we know diversity fosters creativity and innovation, and we want our community to represent the diversity of the world's talent. We are committed to equality of opportunity, to being fair and inclusive, and to being a place where we all belong. We therefore particularly encourage applications from candidates who are likely to be underrepresented in UCL's workforce. These include people from Black, Asian and ethnic minority backgrounds; disabled people; LGBTQI+ people; and for our Grade 9 and 10 roles, women.
Our faculty holds an Athena SWAN Silver award in recognition of our commitment to advancing gender equality.
Tagged as: Life Sciences
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