乔治华盛顿交通专业招有CS背景的研究生，博士生

乔治华盛顿交通专业招有CS背景的研究生，博士生。详细信息如下，有意向的请把简历发到：pandeng@gwu.edu 或 pandeng@gwmail.gwu.edu 谢谢！


About us:
The George Washington University (GW) Transportation Program (GWTP) conducts fundamental and applied research in multiple areas, including 1) driver and pedestrian detection and modeling, 2) traffic flow theory, 3) transportation safety, 4) network flow problems (social and transportation networks), 5) intelligent transportation systems (including connected and autonomous systems with V2V and V2I communications), and 6) evacuation modeling and emergency management. The GWTP team is composed of faculty members and students from different backgrounds. Our team has successfully established a collaborative active research environment. GWTP projects are often cross or inter-disciplinary and are strengthened by research groups from various fields. Moreover, the GWTP research is integrated into a multidisciplinary educational curriculum that draws from different departments at the GW School of Engineering and Applied Sciences.

Description:
The George Washington University Transportation Program are looking to work with one graduate assistant who would be involved in developing/deploying the devices and developing the models in order to develop an in vehicle health anomaly detection system. The assistant will work with other team members to develop AI approaches for such purposes and integration of software and hardware to control autonomous vehicles in order to demonstrate the driving anomaly detection system. Backgrounds in hardware integration, robotics control and circuits are desired.

Requirements:
In process of an undergraduate or Master of Science (MS) degree in Computer Engineering with the need to pursue a Philosophical Doctorate (PhD) or MS degree in Transportation Engineering in the Spring of 2023.
-        Strong Mathematical and/or Physics Modeling background.
-        Good written and oral communication skills.
-        Enthusiasm for learning new technologies.
-        Experience with app development, computer vision, and hardware deployment.
-        Experience in designing and programming a 3D virtual environment (Unity3D or any other platform).
-        Experience with Artificial Intelligence (AI), Machine Learning (ML), Deep Learning (DL), IoT, robotics, or other related technology areas.

Desired:
Experience with traffic engineering and autonomous vehicle research.
Opportunity:
-        Salary (initial period of 2 years – starting in January of 2023) and tuition coverage.
-        Education and Training for scholarly research and possible academic positions.
-        Exposure to private and public agencies and industry leaders in the U.S. nation’s capital.
-        Preparation for future full-time positions within the academic community.