Blavatnik Awards for Young Scientists in the United Kingdom
The Blavatnik Awards for Young Scientists in the United Kingdom recognize the country’s most promising faculty-rank (academic staff) researchers in Life Sciences, Physical Sciences & Engineering, and Chemical Sciences.
Institutions can nominate up to three outstanding young faculty members, one in each of these three disciplinary categories. The Strategic Research Initiatives team work with College Research Support Offices to coordinate the UofG selection process and support for applicants for this call.
Our Process
The Strategic Research Initiatives Team coordinates any age-exemption requests and completes final submission of UofG nominations to the award portal.
The College of Medical, Veterinary & Life Sciences coordinates the selection process for the UofG nominee in Life Sciences and the College of Science and Engineering coordinates the selection process for the UofG nominees in Physical Sciences & Engineering, and Chemical Sciences.
The nominations are collated by the SRI team and shared with the Vice Principal for Research & Knowledge Exchange for comments and feedback, which is then shared with the nominees to strengthen their final nomination. Final nominations are then submitted to SRI for submission to the funder.
Timelines
We begin the internal selection process as soon as we receive notification that a new call has launched.
Read more about this opportunity at the Blavatnik webpage
For general queries: researchinitiatives@glasgow.ac.uk
For queries about the Life Sciences nomination: mvls-research-office@glasgow.ac.uk
For queries about the Physical Sciences & Engineering, and Chemical Sciences nominations: scieng-submit@glasgow.ac.uk
Use of AI in Application Development
Applications submitted to internal demand management and quality management processes at the University of Glasgow are expected to comply with the University of Glasgow's Generative AI Guidance for Researchers and the Funders joint statement: use of generative AI tools in funding applications and assessment.
All applicants should review these documents and are responsible for ensuring any application they submit complies with the guidance and parameters provided. Key points we would like to highlight from these resources include:
- Any use of generative AI tools must be accompanied by critical analysis and oversight on the part of the user
- Work that is not your own effort or is without appropriately transparent acknowledgement of sources or tools used (e.g. work submitted that is the product of Generative AI) does not meet crucial requirements for assessment or academic/research integrity
- Applicants must not use generative AI tools to generate an entire application, or sections of an application, without human involvement
- Reviewers must not input our confidential funding applications into generative AI tools to develop their reviews