Mathematical Sciences Postdoctoral Research Fellowships

小行星9508950 数学科学博士后研究奖学金是授予 最近获得数学科学博士学位的人。这些奖项是A 为国家科学事业的未来活力做出贡献的手段。作为 数学科学的研究人员扩大了他们与其他学科的互动， 随着数学本身各个领域之间相互作用的增加， 博士后研究和培训的机会越来越重要。 奖学金的目的是允许获奖者选择研究环境， 将对他们未来的科学发展产生最大的影响。该奖学金是 旨在提供24个月的支持，分为18个学年和3个月 两个夏天的时间。获奖者可以选择（1）研究奖学金 选择允许全职支持任何18个学年在三年内个月 （2）研究期间，间隔时间不少于连续3个月，或（2）研究 指导选项，允许18个月的学年支持被视为 9个月的全职支持和18个月的兼职支持。不超过两 在任何一个日历年中，都可能收到来自该奖学金的数月夏季支持。 丹尼尔斯皮尔曼将在马萨诸塞州研究所获得博士学位 技术，并将在Umesh Vazirani的指导下进行研究， 加州大学伯克利分校。这项研究将在计算 数学和计算机科学，特别是在发展和理解 用于全息校样的计算高效纠错码。

9508950 Spielman The Mathematical Sciences Postdoctoral Research Fellowships are awards to recent recipients of doctoral degrees in the mathematical sciences. These awards are a means of contributing to the future vitality of the scientific effort of the nation. As researchers in the mathematical sciences expand their interactions with other disciplines, and as the interplay increases between the various areas of mathematics itself, opportunities for postdoctoral research and training are becoming increasingly important. The Fellowships are designed to permit awardees to choose research environments that will have maximal impact on their future scientific development. The fellowship is designed to provide 24 months of support divided into 18 academic-year months and three periods of two summer months. The recipient may choose (1) the Research Fellowship option which allows for full time support for any 18 academic year months in a three year period, in intervals not shorter than 3 consecutive months or (2) the Research Instructorship option which allows the 18 months of academic year support to be taken as nine months of full time support and 18 months of half time support. Not more than two months of summer support from this Fellowship may be received in any calendar year. Daniel Spielman will receive his doctoral degree from the Massachusetts Institute of Technology and will pursue research under the guidance of Umesh Vazirani at the University of California, Berkeley. The research will be conducted in computational mathematics and computer science, specifically in the development and understanding of computationally efficient error-correcting codes for holographic proofs.