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）提出了一个博士培训中心（CDT），旨在通过一项计划开发统计和运营研究（Stor）的国际研究领导者，该计划是尖端的工业挑战是方法论进步的催化剂。我们的建议通过在尖端建模和大型，复杂和新颖的数据结构中推断的研究培训来解决优先领域的“ 21世纪的统计数据”。它至关重要地认识到，许多当代统计中的挑战，包括由行业引起的，也参与约束，优化和决策。该提案将卢在Stor（> 50FTE）的学术实力与一系列杰出的工业和国际学术合作伙伴组合在一起。我们的共同愿景是一种CDT，它可以产生能够进行最高质量研究的毕业生，并配备了一系列领导力和其他技能，这是学术界或行业中快速的职业发展所需的其他技能。该提案以现有的EPSRC资助的CDT的优势为基础，从而帮助通过固定级别的参与行业培训来改变Stor中的博士培训的文化。该提案将中心的规模和科学野心带到了一个新的水平：*招聘和培训70名跨5个同类的学生，在一项有关工业挑战的计划中，作为研究最高质量的催化剂；所有其他人将进行工业研究实习；对博士学位专业知识的需求的一步变化，并进一步打开了技能差距。当前的CDT表明，基于队列的工业参与的计划吸引了最可提供的数学训练的学生的不同范围。没有Stor-I，其中许多学生将不会在Stor中考虑博士学位。我们认为，新的CDT将继续在满足技能差距方面发挥关键作用。我们的培训计划旨在做出的不仅仅是解决数字问题。质量的问题和数量之一一样。我们的目标是培养能够在学术，科学和工业界的跨学术，科学和工业界对工作的创新并确保其工作的研究领导者；谁可以与他人一起工作，并有不同的技能和有效的沟通。其中一个不可或缺的组成部分是我们对ED＆I的拥护。我们的外部合作伙伴强烈有动力加入我们通过Stor-I的基于同类的计划来实现这些结果。毫无疑问，我们的毕业生在工业和学术的各个领域的需求都很大。工业将在CDT中发挥关键作用。我们的合作伙伴正在帮助共同设计该计划，并将（i）共同基金和共同提供博士学位项目，（ii）领导一项工业问题解决日的计划，（iii）在领导力发展和一系列定制培训中发挥了重要作用。 CDT受益于10个新合作伙伴（包括Morgan Stanley，ONS Data Science Campus，Rolls Royce，Royal Mail，Tesco）的大力支持，并从5个现有合作伙伴（包括ATASS，BT，BT，NAG，SHELL）的持续支持中得到了持续的支持，许多其他人期望做出贡献。