EPSRC Centre for Doctoral Training in Statistics and Operational Research in Partnership with Industry (STOR-i)

EPSRC 与工业界合作统计和运筹学博士培训中心 (STOR-i)

• 批准号: EP/S022252/1
• 金额: $ 732.45万
• 依托单位: Lancaster University
• 依托单位国家: 英国
• 项目类别: Training Grant
• 财政年份: 2019
• 资助国家: 英国
• 起止时间: 2019 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=EP%2FS022252%2F1
• 关键词: EPSRC; Centre; Doctoral; Training; Statistics

Lancaster 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 LU's 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 their work across academic, scientific and industrial boundaries; who can work alongside others with different skills-sets and communicate effectively. An integral component of this is our championing of ED&I. Our external partners are strongly motivated to join us in achieving these outcomes through STOR-i's cohort-based programme. We have little doubt that our graduates will be in great demand across a wide range of sectors, both industrial and academic.Industry will play a key role in the CDT. Our partners are helping to co-design the programme and will (i) co-fund and co-supervise doctoral projects, (ii) lead a programme of industrial problem-solving days and (iii) play a major role in leadership development and a range of bespoke training. The CDT benefits from the substantial support of 10 new partners (including Morgan Stanley, ONS Data Science Campus, Rolls Royce, Royal Mail, Tesco) and continued support from 5 existing partners (including ATASS, BT, NAG, Shell), with many others expected to contribute.

兰开斯特大学(LU)提议建立一个博士培训中心(CDT)，通过一个以前沿工业挑战为催化剂的方案，培养统计和运筹学(STOR)方面的国际研究领军人物。我们的提案通过对大型、复杂和新颖的数据结构进行尖端建模和推理方面的研究培训，解决了优先领域“21世纪的统计”。它至关重要地认识到，当代统计领域的许多挑战，包括工业带来的挑战，也涉及约束、优化和决策。这项提议将陆克文在STOR(&gt；50FTE)的学术实力与一批杰出的高度忠诚的工业和国际学术合作伙伴结合在一起。我们的共同愿景是建立一个CDT，培养出能够从事有影响力的最高质量研究的毕业生，并配备一系列在学术界或行业快速发展所需的领导力和其他技能。该提议建立在现有EPSRC资助的CDT的优势基础上，通过与业界前所未有的接触，帮助改变了STOR博士培训的文化。该建议将中心的规模和科学抱负提升到一个新的水平：*在一个利用工业挑战作为最高质量研究催化剂的计划内，招募和培训5个组别的70名学生；*确保所有学生与工业界合作进行研究：80%的学生将参与由工业界共同监督和共同资助的博士项目；所有其他学生将进行工业研究实习；*在专职研究软件工程师的指导和指导下，促进可重复研究的文化(由工业界资助)；*发展跨组别的研究集群，以支持合作应对与重大研究计划有关的雄心勃勃的挑战；*让学生参与大学及其国际学术伙伴的旗舰研究活动。近年来，以数据为导向的商业和工业决策大幅增长，标志着对博士水平STOR专业知识的需求发生了阶段性变化，并进一步拉大了技能差距。目前的CDT表明，一个以队列为基础、从事工业活动的课程吸引了一系列非常有能力的、经过数学培训的学生。如果没有STOR-I，这些学生中的许多人都不会考虑在STOR攻读博士学位。我们相信，新的CDT将继续在填补技能差距方面发挥关键作用。我们的培训计划旨在做更多的事情，而不仅仅是解决数字问题。既有数量的问题，也有质量的问题。我们的目标是培养能够负责任地创新并确保其工作跨越学术、科学和行业边界产生影响的研究领导者；能够与拥有不同技能的其他人合作并有效沟通。其中一个不可或缺的组成部分是我们对ED&I的支持，我们的外部合作伙伴强烈希望通过STOR-I以队列为基础的方案与我们一起实现这些成果。我们毫不怀疑，工业界和学术界对本地毕业生的需求将会很大，而工业界将在课程发展培训中担当重要角色。我们的合作伙伴正在帮助共同设计该计划，并将(I)共同资助和共同监督博士项目，(Ii)领导一个工业问题解决日计划，以及(Iii)在领导力培养和一系列定制培训方面发挥重要作用。CDT受益于10个新合作伙伴(包括摩根士丹利、英国国家统计局数据科学园区、劳斯莱斯、皇家邮政、乐购)的大力支持和5个现有合作伙伴(包括ATASS、BT、NAG、壳牌)的持续支持，以及许多其他合作伙伴的贡献。