EPSRC Centre for Doctoral Training in Statistical Applied Mathematics at Bath

EPSRC 巴斯统计应用数学博士培训中心

• 批准号: EP/S022945/1
• 金额: $ 688.81万
• 依托单位: University of Bath
• 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%2FS022945%2F1
• 关键词: EPSRC; Centre; Doctoral; Training; Statistical

SAMBa aims to create a generation of interdisciplinary mathematicians at the interface of stochastics, numerical analysis, applied mathematics, data science and statistics, preparing them to work as research leaders in academia and in industry in the expanding world of big models and big data. This research spectrum includes rapidly developing areas of mathematical sciences such as machine learning, uncertainty quantification, compressed sensing, Bayesian networks and stochastic modelling. The research and training engagement also encompasses modern industrially facing mathematics, with a key strength of our CDT being meaningful and long term relationships with industrial, government and other non-academic partners. A substantial proportion of our doctoral research will continue to be developed collaboratively through these partnerships.The urgency and awareness of the UK's need for deep quantitative analytical talent with expert modelling skills has intensified since SAMBa's inception in 2014. Industry, government bodies and non-academic organisations at the forefront of technological innovation all want to achieve competitive advantage through the analysis of data of all levels of complexity. This need is as much of an issue outside of academia as it is for research and training capacity within academia and is reflected in our doctoral training approach.The sense of urgency is evidenced in recent government policy (cf. Government Office for Science report "Computational Modelling, Technological Futures, 2018"), through the EPSRC CDT priority areas of Mathematical and Computational Modelling and Statistics for the 21st century as well as through our own experience of growing SAMBa since 2014. We have had extensive collaboration with partners from a wide range of UK industrial sectors (e.g. agri-science, healthcare, advanced materials) and government bodies (e.g. NHS, National Physical Laboratory, Environment Agency and Office for National Statistics) and our portfolio is set to expand.SAMBa's approach to doctoral training, developed in conjunction with our industrial partners, will create future leaders both in academia and industry and consists of:- A broad-based first year developing mathematical expertise across the full range of Statistical Applied Mathematics, tailored to each incoming student.- Deep experience in academic-industrial collaboration through Integrative Think Tanks: bespoke problem-formulation workshops developed by SAMBa.- Research training in a department which produces world-leading research in Statistical Applied Mathematics.- Multiple cohort-enhanced training activities that maximise each student's talents and includes mentoring through cross-cohort integration.- Substantial international opportunities such as academic placements, overseas workshops and participation in jointly delivered ITTs.- The opportunity for co-supervision of research from industrial and non-maths academic supervisors, including student placements in industry.This proposal will initially fund over 60 scholarships, with the aim to further increase this number through additional funding from industrial and international partners. Based on the CDT's current track record from its inception in 2014 (creating 25 scholarships to add to an initial investment of 50), our target is to deliver 90 PhD students over the next five years. With 12 new staff positions committed to SAMBa-core areas since 2015, students in the CDT cohort will benefit from almost 60 Bath Mathematical Sciences academics available for lead supervisory roles, as well as over 50 relevant co-supervisors in other departments.

Samba的目标是在随机学、数值分析、应用数学、数据科学和统计学的界面上培养一代跨学科的数学家，为他们在不断扩大的大模型和大数据世界中担任学术界和工业界的研究领导者做好准备。这一研究领域包括迅速发展的数学科学领域，如机器学习、不确定性量化、压缩传感、贝叶斯网络和随机建模。研究和培训项目还包括面向现代工业的数学，我们CDT的一个关键优势是与工业、政府和其他非学术合作伙伴建立了有意义的长期关系。我们的很大一部分博士研究将继续通过这些合作伙伴关系进行开发。自2014年Samba成立以来，英国对具有专家建模技能的深度定量分析人才的紧迫性和意识有所增强。处于技术创新前沿的行业、政府机构和非学术组织都希望通过分析各种复杂程度的数据来获得竞争优势。这种需要是学术界之外的一个问题，也是学术界内部研究和培训能力的一个问题，并反映在我们的博士培养方法上。紧迫感在最近的政府政策中得到了证明(参见。政府科学办公室报告“计算模型，技术未来，2018”)，通过EPSRC CDT 21世纪数学和计算模型和统计的优先领域，以及我们自2014年以来发展Samba的经验。我们已经与英国广泛的工业部门(例如农业科学、医疗保健、先进材料)和政府机构(例如NHS、国家物理实验室、环境局和国家统计局)的合作伙伴进行了广泛的合作，我们的投资组合将会扩大。SAMBA与我们的行业合作伙伴共同开发的博士培训方法将培养未来学术界和工业界的领导者，包括：-基础广泛的第一年，发展全面的统计应用数学专业知识，为每一位新生量身定做。-通过综合智库在学术和产业合作方面的丰富经验：由Samba开发的定制问题制定研讨会。-在一个在统计应用数学方面产生世界领先研究的系进行研究培训。-多个队列强化的培训活动，最大限度地发挥每个学生的才华，并包括通过跨队列整合进行指导。-大量的国际机会，如学术实习、海外研讨会和参与联合举办的ITTS。-工业和非数学学术导师共同监督研究的机会，包括行业中的学生实习。这项提议最初将为60多个奖学金提供资金，目的是通过来自工业和国际合作伙伴的额外资金进一步增加这一数字。根据CDT自2014年成立以来的记录(在最初投资50个的基础上再创建25个奖学金)，我们的目标是在未来5年内培养90名博士生。自2015年以来，有12个新的工作人员职位致力于Samba核心领域，CDT队列中的学生将受益于近60名可担任牵头主管角色的巴斯数学科学学者，以及其他部门的50多名相关联合主管。