Closing Date: 31 Jan 2023
What is this scheme?
The KE Catalyst scheme supports mathematical sciences researchers who wish to engage in promoting KE in direct collaboration with an industry or public sector partner. It is a secondment scheme that allows academics to devote their full time and attention to a project for 3-12 months.
Who should apply?
Applicants must be eligible to hold an EPSRC grant. This is an ideal opportunity for early career researchers and established academics alike to establish a new KE partnership, build on an existing collaboration and/or generate impact from previous research.
What can ICMS provide?
ICMS can provide funding for the appointment of a teaching replacement for the duration of the project, workshop organisation and travel expenses.
What are the expectations?
Successful applicants are expected to:
- Liaise with our Knowledge Exchange Manager during the lifetime of the project to ensure the research is developed in a way optimised for maximising impact
- Disseminate the projects activities and outcomes via a workshop or similar activity
- Submit a financial report and a scientific report within two months of the end of the project
- Acknowledge ICMS support in all communications related to the project
This scheme is not currently accepting applications. If this is something you would like to apply to in the future, please contact our Knowledge Exchange Manager Lauren Hyndman to register your interest.
In this pilot scheme, ICMS is delighted to support seven projects at institutions across the UK spanning different areas of the mathematical sciences with applications in a variety of sectors.
Dynamic Personalised Modelling of Rehabilitation Pathways of Children with Acquired Brain Injury
Edilson Arruda, University of Southampton
Partner: NHS Southwest Regional Paediatric Neuroscience Centre at Bristol Royal Hospital for Children
Mathematics Mobilised for the Energy Transition (M-MET)
Chris Dent, University of Edinburgh
Partner: Global Power System Transformation Consortium
Data-driven Physical Models for Weather Prediction
Lisa Kreusser, University of Bath
Partner: Met Office
Leveraging the Dynamic Predictive Ability of Robust Joint Models for Early Interventions in the ICU
Lisa McFetridge, Queen’s University Belfast
Partner: Intensive Care Medicine, Royal Victoria Hospital Belfast
Informing Heating Cabinet Design with Shape Optimisation
Alberto Paganini, University of Leicester
Partner: The Alan Nuttall Partnership Ltd
Geometric Rigidity, Graphic Statics and the Design of Gridshells
Bernd Schulze, Lancaster University
Partner: Skidmore, Owings & Merrill
Workshop: Knowledge Exchange Workshop on Geometric Rigidity, Graphic Statics and Engineering
Development of Statistical Methods for Oil Evolution Analysis
Diwei Zhou, Loughborough University