IRES Track 1 Graduate Research In Industrial Projects for Students - Berlin

IRES Track 1 学生工业项目研究生研究 - 柏林

• 批准号: 1826810
• 负责人: Dimitri Shlyakhtenko
• 金额: $ 23.32万
• 依托单位: University of California-Los Angeles
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2018
• 资助国家: 美国
• 起止时间: 2018-09-01 至 2023-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1826810&HistoricalAwards=false
• 关键词: IRES; Track; Graduate; Research; Industrial

This project will support the "Graduate-level Research in Industrial Projects for Students-Berlin" (GRIPS) led by the Institute for Pure and Applied Mathematics (IPAM). The program will offer graduate students in mathematics and related disciplines the opportunity to work on industry-sponsored research problems in Berlin through a collaboration with Research Campus MODAL in Berlin, Germany. MODAL has existing industrial partners affiliated with their laboratories that provide their research groups with interesting and challenging research problems. The program will be eight weeks in length; eight US graduate students will participate each summer. Half of the US students each year will be women, and one or more will be a member of an underrepresented ethnic group. MODAL will recruit 8 European students to form 4 research groups of two US and two European students each, and provide academic mentors. The program will not only produce interesting research in applications of mathematics to real-life problems, but will give a diverse group of US students an insight into industrial research and provide them with hands-on experience of working on industrial problems. One of the goals of the program is to make the students aware of the multiple career pathways open to them and highlight the value and adaptability of their mathematics skills as applied to interesting real-life problems. The students will also receive invaluable experience collaborating with foreign colleagues and companies. The projects will be the natural outgrowth of MODAL's existing industry research partnerships, and will be selected in collaboration with IPAM. Participants will produce a final report on their work, and will be encouraged to submit their work for conference presentations and/or publication in technical journals. It is expected that many of the participants will continue the research and collaborations they started in the program.Applied mathematics research has become increasingly important and relevant to engineering problems and, indeed, to everyday life. Increasingly, core applied mathematics topics, ranging from applied probability, to partial differential equation, to optimization, find important applications in areas such as materials science, mathematical biology, operations research, and, more recently, machine learning. Applications of mathematical techniques to real-life problems require both a deep understanding of mathematical theory, as well as acute awareness of both the physical and technical aspects of the problem, as well as implementation details of any numerical algorithms or simulations. For this reason, such successful applications are often a combination of individual and team efforts, with the main problem being divided into more specialized parts, and specific expertise of each team member brought to bear on each such component.The exact topics of the research projects will change from year to year and will depend on the interest of industry and academic researchers involved. Generally speaking, the projects will apply mathematical techniques to questions of optimization (such as optimization of rail network throughput), efficient simulation (such as simulation of modern nanophotonic devices) and machine learning (such as analysis of medical mass data sets).This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

该项目将支持由纯粹与应用数学研究所（IPAM）领导的“柏林学生工业项目研究生水平研究”（GRIPS）。该计划将为数学及相关学科的研究生提供机会，通过与德国柏林的研究校园MODAL合作，在柏林解决行业赞助的研究问题。MODAL拥有附属于其实验室的现有工业合作伙伴，为他们的研究小组提供有趣且具有挑战性的研究问题。 该计划将为期八周，每年夏天将有八名美国研究生参加。 每年一半的美国学生将是女性，一个或多个将是代表性不足的种族群体的成员。MODAL将招募8名欧洲学生组成4个研究小组，每组两名美国学生和两名欧洲学生，并提供学术导师。该计划不仅将在数学应用于现实生活中的问题产生有趣的研究，但将给一个不同的美国学生群体深入了解工业研究，并为他们提供在工业问题上工作的实践经验。该计划的目标之一是让学生意识到向他们开放的多种职业途径，并强调他们的数学技能应用于有趣的现实生活问题的价值和适应性。 学生还将获得与外国同事和公司合作的宝贵经验。这些项目将是MODAL现有行业研究合作伙伴关系的自然产物，并将与IPAM合作选择。 与会者将编写一份关于其工作的最终报告，并鼓励他们提交其工作以供会议介绍和/或在技术期刊上发表。 预计许多参与者将继续他们在该计划中开始的研究和合作。应用数学研究已经变得越来越重要，与工程问题和日常生活相关。越来越多的核心应用数学主题，从应用概率到偏微分方程，再到优化，在材料科学，数学生物学，运筹学以及最近的机器学习等领域找到了重要的应用。将数学技术应用于现实生活中的问题需要对数学理论的深刻理解，以及对问题的物理和技术方面的敏锐认识，以及任何数值算法或模拟的实施细节。因此，这些成功的应用往往是个人和团队共同努力的结果，主要问题被分解为更专业的部分，每个团队成员的具体专业知识将对每个部分产生影响。研究项目的确切主题每年都会变化，这取决于参与的行业和学术研究人员的兴趣。 一般来说，这些项目将应用数学技术来解决优化问题（例如优化铁路网络吞吐量），高效仿真（例如现代纳米光子器件的模拟）和机器学习（如医学海量数据集分析）该奖项反映了NSF的法定使命，并通过使用基金会的知识价值和更广泛的影响审查进行评估，被认为值得支持的搜索.