Leeds Institute for Fluid Dynamics
Fluids Dynamics lies at the heart of many societal and industrial challenges with practical application in the engineering and physical sciences and further into geophysical, astrophysical, environmental and biomedical regimes. The Leeds Institute for Fluid Dynamics is a cross-disciplinary research institute that brings together expertise in a collaborative framework in order to maximise the effectiveness and impact of fluids research.
In 2021 we published a key report on the value and contribution of fluid dynamics to UK economy and society: Read the report
Find out more about our goals and objectives.
Read about how we plan to achieve those goals by visiting our LIFD Sub-Groups page.
Visit the work with us page to read about opportunities within LIFD.
Want to find out more about the benefits of LIFD membership and how to sign up as an internal member or external affiliate member? You can visit our 'LIFD Membership – benefits and how to join' page.
Please note we are currently in the process of reviewing and updating the content of our website to ensure it complies with the University's web content accessibility guidelines.
EPSRC Centre for Doctoral Training in Fluid Dynamics
The Leeds Institute for Fluid Dynamics (LIFD) has strong links to industry and early career researcher training (see the EPSRC CDT in Fluid Dynamics at www.fluid-dynamics.leeds.ac.uk).
Our goal is to promote and support fundamental and multidisciplinary research, and to encourage collaboration and innovation to tackle Fluid Dynamics problems.
The Leeds Institute for Fluid Dynamics is pleased to support the Stories of Women in Fluids initiative. The Stories of Women in Fluids (SOWIF) Initiative...
SHARE The Leeds Institute for Fluid Dynamics (LIFD) celebrated its fifth anniversary with high-profile guests, highlighting the importance of fluid dynamics to the economy and...
Job opportunity: Lecturer or Associate Professor in Machine Learning for Atmospheric and Climate Sciences
Lecturer or Associate Professor in Machine Learning for Atmospheric and Climate Sciences Are you an experienced and ambitious academic looking for your next challenge?...