Rutgers University
Post Doctoral Associate - Rail
Skills
7 months ago
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Important information
Contract type:
Permanent
Location:
Piscataway, NJ 08854, USA
Work mode:
Onsite
Published on:
7 August 2026
What they need
Posting Summary Rutgers, the State University of New Jersey, with the Center for Advanced Infrastructure and Transportation ( CAIT ) is seeking a Postdoctoral Associate. This position reports to Professor Xiang Liu and will work independently with clearly defined research objectives associated with projects. The qualified candidate will have the following responsibilities:
- Coordinates internal resources and third parties for the successful execution of projects
- Track project performance to analyze the successful completion of short- and long-term goals
- Meet budgetary objectives and make adjustments to project constraints based on financial analysis
- Directly oversees work done by other team members and students
- Responsible for the interviewing and hiring of additional team members as needed
- Performs quality control and quality assurance on projects through expert knowledge of rail and transit engineering
- Writes technical reports and contributes to preparation of journal articles and prepares conference presentations
- Updates related research knowledge by participating in educational opportunities; reading professional publications; maintaining personal networks; participating in professional organizations.
- Use and continually develop leadership skills The position also assumes collaboration with a group of researchers and graduate students from both academic and industrial partners. The candidate will be responsible for project reporting related to his/her research activities, supervision of graduate students, preparation of research proposals and publications, and presentations at professional and research conferences and meetings. The candidate is expected to have strong expertise in rail and transit transportation and engineering The candidate may be required to travel independently to various locations 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 with CAIT’s faculty and staff in general.
Preferred Qualifications Knowledge and experience with the following are strongly preferred:
- Scientific analytical techniques and their application
- Experience in implementation of quality assurance/quality control research operations and reporting
- Conceptual modeling and creation of innovation ideas
- Familiarity with data analytics, computer vision and machine learning algorithms.
- Information dissemination and decision-support services
- Policy related analysis and investigation
- Previous interactions with transportation funding agencies and consultants
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