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

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
负责人:
金额:
$732.45万
依托单位:
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
项目状态:
未结题
起止时间:
2019 至 --

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中文摘要
翻译
兰开斯特大学(LU)提出了一个博士培训中心(CDT),通过一个计划,其中尖端的工业挑战是方法进步的催化剂,培养统计和运筹学(STOR)的国际研究领导者。我们的建议涉及"世纪统计“的优先领域,通过大型、复杂和新型数据结构的尖端建模和推理方面的研究培训。它关键地认识到,许多当代的统计挑战,包括来自行业的挑战,也涉及约束,优化和决策。该提案将LU在STOR(> 50 FTE)的学术实力与一系列高度致力于工业和国际学术合作伙伴结合在一起。我们的共同愿景是CDT培养出能够进行最高质量研究并具有影响力的毕业生,并具备学术界或行业快速职业发展所需的一系列领导力和其他技能。该提案建立在EPSRC资助的现有CDT的优势之上,该CDT通过与行业前所未有的合作,帮助改变了STOR博士生培养的文化。该提案通过以下方式将中心的规模和科学雄心提升到一个新的水平:* 在一个以工业挑战为催化剂的方案中招募和培训5个批次的70名学生,以促进最高质量的研究;* 确保所有学生与工业界合作开展研究:80%的学生将从事由工业界共同监督和共同资助的博士项目;所有其他学生将从事工业研究实习;* 在专门的研究软件工程师的指导和指导下,促进可重复研究的文化(行业资助);* 发展跨队列研究集群,以支持在与重大研究计划相关的雄心勃勃的挑战方面的合作;* 使学生能够参与岭大和我们的国际学术伙伴的旗舰研究活动。近年来,数据驱动的商业和工业决策的大幅增长标志着对博士学位的需求发生了重大变化。STOR的专业水平,并进一步打开了技能差距。目前的CDT已经表明,一个基于队列的,工业参与的方案吸引了各种各样的非常有能力的数学训练的学生。如果没有STOR-i,这些学生中的许多人不会考虑在STOR攻读博士学位。我们相信,新设的课程发展小组将继续在填补技能差距方面发挥关键作用。我们的培训计划的目的不仅仅是解决一个数字问题。质量问题和数量问题一样重要。我们的目标是培养研究领导者,他们能够负责任地创新,并确保他们的工作跨越学术,科学和工业界限的影响;他们可以与其他具有不同技能的人一起工作,并有效地沟通。其中一个不可或缺的组成部分是我们对艾德&I的支持。我们的外部合作伙伴有强烈的动力与我们一起通过STOR-i的队列计划实现这些成果。毫无疑问,我们的毕业生将在工业和学术界的广泛领域中有很大的需求。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)共同资助和共同监督博士项目,(ii)领导工业问题解决日计划,(iii)在领导力发展和一系列定制培训中发挥重要作用。CDT受益于10个新合作伙伴(包括摩根士丹利、ONS数据科学园区、劳斯莱斯、皇家邮政、乐购)的大力支持,以及5个现有合作伙伴(包括ATASS、英国电信、NAG、壳牌)的持续支持,预计还有许多其他合作伙伴也将做出贡献。
英文摘要
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.
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