Supporting early stage academics to commercialise their innovation concept. With its unique programme of masterclasses, seminars and networking opportunities the Bayes Innovation Fellowship will give you access to tailored coaching, bespoke funding, and unrivalled exposure to research commercialisation opportunities. Image Ideally suited to academics with a compelling research translation ambition, this year-long programme will support you with: 0.2 FTE time buyout from your home School, providing Fellows with time to further develop your innovation concept. £5-£10k seed funding. Access to expertise and guidance from renowned experts, including successful founders, leading venture capitalists and IP specialists. Individual coaching with an experienced mentor. Extensive pitch practice and guidance from highly-skilled investment professionals, with previous expert panels including representatives from Archangels, Creator Fund, Equity Gap and Old College Capital. The creation of an animated explainer video to maximise the reach of your idea. On completion, there will also be an opportunity for potential integration into other established programmes here at The Bayes Centre, such as the Venture Builder Incubator and AI Accelerator. This programme is designed for academics, i.e. members of staff at grade 8 and above. Postdoctoral Research Associates and Fellows are encouraged to explore alternative opportunities, e.g. the Edinburgh Innovations “Innovation Fellowship”. The Bayes Innovation Fellows programme is intended to: Develop the translational mindset of academic colleagues, promoting the entrepreneurial and innovation activities that The Bayes Centre provides Build interdisciplinary leadership potential Further strengthen our interface with private and public sector collaborators Continue to promote our ambition to grow multi-disciplinary opportunities Build awareness of opportunities associated with the University’s Data-Driven Innovation programme Impact teaching and curriculum development via the adoption of case studies Should you have any questions regarding the Bayes Centre Innovation Fellows programme please contact: Emma Fyvie-Harper at efyvieh@ed.ac.uk This article was published on 2024-09-30