Ph.D. Positions at Michigan Tech (运筹，控制，计算机，交通背景)

sits_labUID: 3609804

Ph.D. Positions in Sustainable and Intelligent Transportation Systems at Michigan Tech

Prospective students are expected to work in the high-performance computing Laboratory on Sustainable and Intelligent Transportation Systems (SITS-Lab) with Dr. Kuilin Zhang. Dr. Zhang is Assistant Professor in the Department of Civil and Environmental Engineering (CEE) at Michigan Technological University (Michigan Tech), Houghton, Michigan, U.S.A. Dr. Zhang received his Ph.D. degree in Transportation Systems Analysis and Planning from the Department of Civil and Environmental Engineering at Northwestern University in December 2009.  After working as a Postdoctoral Fellow in the Transportation Center at Northwestern, he joined the Energy Systems Division at Argonne National Laboratory as a Postdoctoral Appointee in November 2010. Dr. Zhang is a member of the Editorial Advisory Board of Transportation Research Part E - Logistics and Transportation Review, as well as Transportation Research Board (TRB) standing committees of Transportation Network Modeling (ADB30) and Freight Transportation Planning and Logistics (AT015). Dr. Zhang's research areas include transportation network modeling and optimization, intelligent transportation systems, logistics and supply chain systems, travel behavior, traffic flow theory, travel demand analysis, and plug-in electric vehicles.

Interested applicants from transportation engineering, applied mathematics, systems engineering,  control theory, and computer science are encouraged to contact Dr. Zhang directly by sending a complete resume, research statement, and representative publications at klzhang@mtu.edu, and submit their applications FREE on-line at http://www.mtu.edu/cee/graduate/civil/. You are expected to have a passion for transportation research, solid mathematics background such as operations research, control theory, and statistical models, and proficient programming skills in languages such as C++ and Java.

根据您的兴趣爱好和背景情况，未来您或者参加一个NSF的项目 - Improving Spatial Observability of Dynamic Traffic Systems through Active Mobile Sensor Networks and Crowdsourced Data；或者，您会参加一个US DOT和Argonne National Laboratory合作的公交系统应急管理的项目。这两个项目主要用到优化模型，控制理论，以及计算机科学的知识，来研究如何观测或监测动态交通流，或者优化公交系统进行应急管理。另外的研究方向是交通大数据，connected and automated vehicles, data-driven robust optimization, hybrid CPU and GPU computing.

所以，如果您的背景是计算机科学，运筹学，控制论，信息论，以及应用数学，或对于网络优化模型以及算法计算机程序实现感兴趣的同学，都欢迎直接跟Dr. Zhang (klzhang@mtu.edu)联系。

我们的实验室和Argonne National Laboratory的科学家们，共同维护一套开源的交通网络系统并行计算仿真平台的软件-POLARIS (https://www.tracc.anl.gov/index.php/polaris). 这套软件系统是US DOT支持开发的。您会和美国能源部的阿岗国家实验室的科学家一起在这个平台上继续做相应的交通研究－建立智能交通系统数学模型，并进行计算机实现，应用于大规模交通网络例如芝加哥，纽约，以及北京这样的大城市中，来解决交通拥挤问题。