📋 Tender Overview
Funded Value5453875Funded PeriodOct 19 - Mar 28FunderEPSRCProject StatusActiveProject CategoryTraining GrantProject ReferenceEPS0222521Lancaster University LU proposes a Centre for Doctoral Training CDT to develop international research leaders in statistics and operational research STOR through a programme in which cutting-edge industrial challenge is the catalyst for methodological advance. Our proposal addresses the priority area Statistics for the 21st Century through research training in cutting-edge modelling and inference for large complex and novel data structures. It crucially recognises that many contemporary challenges in statistics including those arising from industry also engage with constraint optimisation and decision. The proposal brings together LUs academic strength in STOR 50FTE with a distinguished array of highly committed industrial and international academic partners. Our shared vision is a CDT that produces graduates capable of the highest quality research with impact and equipped with an array of leadership and other skills needed for rapid career progression in academia or industry.The proposal builds on the strengths of an existing EPSRC-funded CDT that has helped change the culture in doctoral training in STOR through an unprecedented level of engagement with industry. The proposal takes the scale and scientific ambition of the Centre to a new level by Recruiting and training 70 students across 5 cohorts within a programme drawing on industrial challenge as the catalyst for research of the highest quality Ensuring all students undertake research in partnership with industry 80 will work on doctoral projects jointly supervised and co-funded by industry all others will undertake industrial research internships Promoting a culture of reproducible research under the mentorship and guidance of a dedicated Research Software Engineer industry funded Developing cross-cohort research-clusters to support collaboration on ambitious challenges related to major research programmes Enabling students to participate in flagship research activities at LU and our international academic partners.The substantial growth in data-driven business and industrial decision-making in recent years has signalled a step change in the demand for doctoral-level STOR expertise and has opened the skills gap further. The current CDT has shown that a cohort-based industrially engaged programme attracts a diverse range of the very ablest mathematically trained students. Without STOR-i many of these students would not have considered doctoral study in STOR. We believe that the new CDT will continue to play a pivotal role in meeting the skills gap.Our training programme is designed to do more than solve a numbers problem. There is an issue of quality as much as there is one of quantity. Our goal is to develop research leaders who can innovate responsibly and secure impact for
