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Postdoctoral Associate

Job in Piscataway, Middlesex County, New Jersey, 08854, USA
Listing for: Rutgers University
Full Time position
Listed on 2026-01-30
Job specializations:
  • Engineering
Salary/Wage Range or Industry Benchmark: 63968 USD Yearly USD 63968.00 YEAR
Job Description & How to Apply Below
Position Details

Position Information

Recruitment/Posting Title Postdoctoral Associate Department Civil & Environmental Engineer Salary Details A minimum of $63,968 for calendar year appointment 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 offers a comprehensive benefits package to eligible employees, based on position, which includes:

* 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

* Life insurance coverage

* Employee discounts programs

For detailed information on benefits and eligibility, please visit: (Use the "Apply for this Job" box below)..

Posting Summary

The Rutgers Infrastructure Monitoring and Evaluation (RIME) Group has been developing expertise over the past decades in the application of
1) Structural Health Monitoring (SHM) and Weigh-In-Motion (WIM) systems integrated with advanced probabilistic methods, machine learning and Artificial Intelligence (AI) approaches, and
2) advanced Finite Element (FE) analysis with particular emphasis on the use of LSDYNA for simulation of crash analysis and roadside safety. This work increasingly emphasizes reliability-based performance assessment, load effects characterization, and data-informed evaluation frameworks consistent with AASHTO LRFD BDS and AASHTO MBE provisions for bridge design, evaluation, and load rating.

The RIME Group is seeking a Postdoctoral Associate for the above areas of research and to work on faculty-led, externally funded research projects. The primary responsibilities include synthesizing prior and ongoing research results and extending them toward practical testing, analysis, reliability assessment, and load rating procedures that bridge owners and managers can adopt as part of comprehensive asset management and preservation strategies.

The successful candidate will contribute to the development, validation, and fusion of SHM/WIM-informed analysis methodologies for bridge evaluation, including probabilistic modeling, reliability analysis, and load rating under AASHTO LRFD BDS and MBE frameworks. Both positions involve close collaboration with federal, state, and local agencies, universities, and private-sector partners.

Key Duties and Responsibilities

30% 1. Develop and integrate SHM/WIM-informed bridge evaluation and load rating methodologies consistent with AASHTO LRFD BDS and AASHTO MBE.

20% 2. Analyze WIM data and characterize truck loads, load effects, and fatigue demand to support data-driven reliability and rating.

20% 3. Perform advanced FE analyses using commercial packages (e.g., ABAQUS, LS-DYNA) to evaluate structural response and support specialized simulations (e.g., crash/roadside safety when applicable).

20% 4. Support practical testing and validation (laboratory and/or field) related to SHM sensors/long-term monitoring and structural/concrete member performance when applicable

10% 5. Writing proposal, reports, and papers.

Position Status Full Time Posting Number 26FA0067 Posting Open Date 01/26/2026 Posting Close Date 02/28/2026

Qualifications

Minimum Education and Experience

The ideal candidate will hold a Ph.D. in Structural Engineering with a strong background in AASHTO-based bridge design, evaluation, and load rating, including experience with LRFD and MBE provisions, reliability analysis, probabilistic modeling, and capacity and demand assessment. Extensive experience with WIM technologies, truck load characterization, fatigue analysis of steel bridges, and data-driven reliability and load rating…
Position Requirements
10+ Years work experience
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