📋 Tender Overview
Funded Value6112267Funded PeriodOct 19 - Mar 28FunderEPSRCProject StatusActiveProject CategoryTraining GrantProject ReferenceEPS0232911The Centre for Doctoral Training MAC-MIGS will provide advanced training in the formulation analysis and implementation of state-of-the-art mathematical and computational models. The vision for the training offered is that effective modern modelling must integrate data with laws framed in explicit rigorous mathematical terms. The CDT will offer 76 PhD students an intensive 4-year training and research programme that equips them with the skills needed to tackle the challenges of data-intensive modelling. The new generation of successful modelling experts will be able to develop and analyse mathematical models translate them into efficient computer codes that make best use of available data interpret the results and communicate throughout the process with users in industry commerce and government. Mathematical and computational models are at the heart of 21st-century technology they underpin science medicine and increasingly social sciences and impact many sectors of the economy including high-value manufacturing healthcare energy physical infrastructure and national planning. When combined with the enormous computing power and volume of data now available these models provide unmatched predictive tools which capture systematically the experimental and observational evidence available. Because they are based on sound deductive principles they are also the only effective tool in many problems where data is either sparse or as is often the case acquired in conditions that differ from the relevant real-world scenarios. Developing and exploiting these models requires a broad range of skills - from abstract mathematics to computing and data science - combined with expertise in application areas. MAC-MIGS will equip its students with these skills through a broad programme that cuts across disciplinary boundaries to include mathematical analysis - pure applied numerical and stochastic - data-science and statistics techniques and the domain-specific advanced knowledge necessary for cutting-edge applications. MAC-MIGS students will join the broader Maxwell Institute Graduate School in its brand-new base located in central Edinburgh. They will benefit from i dedicated academic training in subjects that include mathematical analysis computational mathematics multi-scale modelling model reduction Bayesian inference uncertainty quantification inverse problems and data assimilation and machine learning ii extensive experience of collaborative and interdisciplinary work through projects modelling camps industrial sandpits and internships iii outstanding early-career training with a strong focus on entrepreneurship and iv a dynamic and forward-looking community of mathematicians and scientists sharing strong values of collaboration respect and social and
