The Department of Civil and Environmental Engineering (CEE) and the Center for Advanced Infrastructure and Transportation (CAIT) conduct research and projects that deal with rail transportation, engineering and operations, with a particular focus on developing and applying advanced information technologies and managerial strategies to further improve rail transportation safety, efficiency and resiliency. We are currently accepting applications for a Research Associate position in relation to these development efforts.
The successful candidate will report to Dr. Xiang Liu and will work independently with clearly defined research objectives associated with projects such as railway infrastructure data analytics and decision support tool development, development of railroad trespassing detection and analysis technologies and tools, intelligent infrastructure asset management system development, and rail transport of hazardous materials. More specifically, the candidate's research duties will include at least the following:
Development of a web-based decision support tool that can be used to process and analyze large amount of railway infrastructure data, in support of predictive maintenance, in collaboration with rail agencies
Development of technologies and tools to detect and analyze railroad trespassing at grade crossings
Contribute to development of models and decision support tools for analyzing the risk associated with rail transport of hazardous materials, as well as evaluation of alternative risk mitigation options
Contribute to the program's ongoing effort in data-driven infrastructure asset management for the transportation sector
The Research Associate may be required to travel independently to various locations in the in the U.S. and work offsite without any manager supervision. In addition, the employee will demonstrate a leadership role in forming and maintaining productive working relationships, and the ability to work autonomously in the prescribed duties, as well cooperatively CEE/CAIT’s faculty and staff in general. This position will also require the candidate to train and supervise graduate and undergraduate students both in the laboratory and during field operations as needed.
Minimum Education and Experience:
This position requires a minimum Master's degree in Engineering or Computer Science. The research duties would require the candidate to be highly proficient in computer programming, software engineering and information technologies. Extensive prior experience in decision support tool development, computer programming and data analysis is required for this position. Preference will be given to the candidate who has strong experience in developing web-based decision support software tools in the area of rail and transit. This position also requires the ability to research, compile data, and formulate reports and deliverables on a consistent and timely basis. In addition, the successful candidate must be able to think broadly and conceptually and formulate creative, sophisticated solutions to complex problems, prioritize workload, and work independently with general supervision.
Required Knowledge, Skills, and Abilities:
This position also requires good communication and presentation skills, and a strong proficiency in technical writing and editing. The individual will be expected to hold very high standards in how information is developed and presented. This position will require the ability to manage, document, and organize multiple simultaneous projects, and will occasionally involve travel within the United States to attend meetings/conferences/etc.
Posting Number: 20FA0065
Location: Busch (RU-New Brunswick)
Internal Number: 110021
About Rutgers University
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