EDT: Team Training Mathematical Scientists Through Industrial Collaborations
EDT:通过工业合作团队培训数学科学家
基本信息
- 批准号:1514808
- 负责人:
- 金额:$ 59.88万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Continuing Grant
- 财政年份:2015
- 资助国家:美国
- 起止时间:2015-06-01 至 2019-05-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
The goal of this project is to transform doctoral training in the mathematical sciences to include activities that provide students with marketable skills and experiences. Prior to the start of formal thesis research, students will develop mathematical and statistical approaches to tackle problems arising in other areas of science and engineering. The 16 doctoral students supported by the project will spend two semesters of their second year working on an interdisciplinary research problem posed by an external partner from industry, a government lab, or a research institution. Students will work in teams consisting of 2-3 students, one mathematics and one statistics faculty mentor, and one of our external partners. These research projects will replace the students' normal teaching assistant duties in their second year and will provide exposure to the entire research process, from starting with an open-ended problem description to obtaining final results. In the summer after this year-long research experience, the students will be well positioned to continue work at the external partners' organizations as interns, thereby gaining experience that could ultimately lead to employment opportunities after graduation. Specific objectives include: (1) Broadening opportunities for students to pursue the solution of real-world application problems through connections with industrial and interdisciplinary researchers; (2) Increasing students' confidence to tackle applied problems with which they are not familiar; (3) Increasing students' ability to communicate within research teams and to wider audiences; (4) Broadening the range of career paths for mathematical sciences Ph.D. graduates, and increasing the number and proportion of students who do internships, take industrial research positions, or take postdoctoral positions at national labs. The teams will be chosen to include some students whose dissertation topics may not involve strong modeling or computational components. We will use the EDT project as a recruiting tool to increase the number of qualified U.S. students who apply to the Ph.D. program, especially women and under-represented minorities. The web site for the project is www.utdallas.edu/EDT. Six external partners have agreed to collaborate on this project. In consultation with the external partners, we have developed broad research problems that complement the strengths of the faculty mentors at UTD. Proposed projects include (1) uncertainty quantification for microseismic source estimation in unconventional oil and gas recovery; (2) infectious disease forecasting; (3) cone beam computerized tomography to acquire patient anatomy data for cancer radiotherapy treatments; (4) multisensor tracking of multiple moving targets for defense applications; and (5) modeling of plasma processing systems for advanced manufacturing. Following an annual kick-off event, we will hold an in-depth workshop in which students and faculty will learn fundamental theory, examples, and computational skills of direct relevance for the chosen projects that year. The remainder of the year is broken into one- to four-month time periods during which the research goals will be defined, the problem prototyped and solved, and the results disseminated to the external partner and others outside the project.
该项目的目标是将数学科学的博士培训转变为包括为学生提供市场技能和经验的活动。在正式的论文研究开始之前,学生将开发数学和统计方法来解决其他科学和工程领域出现的问题。该项目资助的16名博士生将在第二年的两个学期中从事由工业界、政府实验室或研究机构的外部合作伙伴提出的跨学科研究问题。学生将在由2-3名学生组成的团队中工作,一名数学和一名统计教师导师,以及我们的外部合作伙伴之一。这些研究项目将取代学生在第二年的正常助教职责,并将使学生接触到整个研究过程,从开始的开放式问题描述到获得最终结果。在这个为期一年的研究经历之后的夏天,学生们将有能力继续在外部合作伙伴组织作为实习生工作,从而获得经验,最终在毕业后获得就业机会。具体目标包括:(1)通过与工业和跨学科研究人员的联系,拓宽学生寻求解决现实世界应用问题的机会;(2)增强学生解决不熟悉的应用问题的信心;(3)提高学生在研究团队和更广泛的受众之间的沟通能力;(4)拓宽数学科学博士毕业生的就业路径,提高学生到国家实验室实习、从事产业研究或博士后工作的人数和比例。这些团队将被选择包括一些学生,他们的论文主题可能不涉及强大的建模或计算组件。我们将利用EDT项目作为招聘工具,增加申请博士项目的合格美国学生的数量,特别是女性和代表性不足的少数民族。该项目的网址是www.utdallas.edu/EDT。六家外部合作伙伴已同意就该项目进行合作。在与外部合作伙伴协商后,我们开发了广泛的研究问题,以补充UTD教师导师的优势。拟开展的项目包括:(1)非常规油气开采微震源估算的不确定性量化;(2)传染病预报;(3)锥束计算机断层扫描,获取患者解剖数据,用于肿瘤放疗;(4)多传感器多运动目标跟踪的防御应用;(5)面向先进制造的等离子体加工系统建模。在一年一度的启动活动之后,我们将举行一次深入的研讨会,学生和教师将在研讨会上学习与当年所选项目直接相关的基础理论、实例和计算技能。这一年剩下的时间被分成一到四个月的时间段,在此期间,研究目标将被定义,问题原型和解决,结果将传播给外部合作伙伴和项目外的其他人。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Susan Minkoff其他文献
Susan Minkoff的其他文献
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{{ truncateString('Susan Minkoff', 18)}}的其他基金
CDS&E: Collaborative Research: Surrogates and Reduced Order Modeling for High Dimensional Coupled Systems
CDS
- 批准号:
2053858 - 财政年份:2021
- 资助金额:
$ 59.88万 - 项目类别:
Standard Grant
Infinite Possibilities Conference 2012
2012无限可能大会
- 批准号:
1135426 - 财政年份:2011
- 资助金额:
$ 59.88万 - 项目类别:
Standard Grant
Collaborative Research: Multiscale Aspects for Wave Propagation Inverse Problems
协作研究:波传播反问题的多尺度方面
- 批准号:
0714159 - 财政年份:2007
- 资助金额:
$ 59.88万 - 项目类别:
Standard Grant
Collaborative Research: CMG Research: Statistical Seismic Imaging
合作研究:CMG 研究:统计地震成像
- 批准号:
0222181 - 财政年份:2002
- 资助金额:
$ 59.88万 - 项目类别:
Standard Grant
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