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Rutgers, The State University of New Jersey
CoAd Non-Teaching: AI in Rail Transportation
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Job Description
Salary Details Min $12,000 to Max $60,000 Offer Information The final salary offer may be determined by several factors, including, but not limited to, the candidate's qualifications, experience, and expertise, and availability of department or grant funds to support the position. We also take into consideration market benchmarks, if and when appropriate, and internal equity to ensure fair compensation relative to the university's broader compensation structure. We are committed to offering competitive and flexible compensation packages to attract and retain top talent. Benefits Rutgers provides a comprehensive benefits package to eligible employees. The specific benefits vary based on the position and may include: Medical, prescription drug, and dental coverage Paid vacation, holidays, and various leave programs Competitive retirement benefits, including defined contribution plans and voluntary tax-deferred savings options Employee and dependent educational benefits (when applicable) Life insurance coverage Employee discount programs Posting Summary A researcher is being sought to support ongoing work to investigate the use of artificial intelligence (AI) in rail transportation applications from a strategic visioning perspective. The successful candidate must demonstrate a robust understanding of and experience with AI science, AI applications in transportation infrastructure, and translating complex scientific topics into easy-to-understand summaries and visuals.
Position Status:
Part Time Minimum Education and Experience The successful applicant must possess a Ph.D. in civil engineering or other related field and demonstrate robust experience with AI applications in transportation and engagement with transit agencies. Required Knowledge, Skills, and Abilities Candidates with experience working with transportation or other public agencies on AI applications and with strategic vision development Preferred Qualifications- Transportation Operations and Management
- Intelligent Transportation Systems
- Supply Chain Engineering
- Transportation Demand
- Transportation Systems Investment Planning and Policy