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Postdoctoral Associate - Structural Engineering

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Rutgers University

New Brunswick, NJ (In Person)

Full-Time

Posted 7 weeks ago (Updated 3 weeks ago) • Actively hiring

Expires 5/27/2026

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Job Description

Postdoctoral Associate - Structural Engineering Rutgers University life insurance, employee discount United States, Jersey, Brunswick Mar 26, 2026
Position Details Position Information Recruitment/Posting Title Postdoctoral Associate - Structural Engineering
Department Advanced Infrastructure Center
Salary Details Minimum of union contracted amount ($63,968) but final salary dependent on several factors including, but not limited to, the candidates' qualifications, experience, and expertise, and funding availability.
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 The Rutgers Center for Advanced Infrastructure and Transportation ( CAIT) is seeking a highly motivated Postdoctoral Research Associate to support research and implementation activities in advanced transportation infrastructure systems. The position will focus on the integration of artificial intelligence (AI) and emerging technologies across the full lifecycle of structures-from design and construction to monitoring, maintenance, and asset management. The successful candidate will contribute to the development of next-generation digital infrastructure frameworks that combine experimental testing, structural health monitoring ( SHM), physics-based modeling, and data-driven analytics to enable predictive, performance-based decision-making and improve infrastructure safety, resilience, and lifecycle performance. The candidate is expected to demonstrate a leadership role in forming and maintaining productive working relationships, as well as the ability to work autonomously in the prescribed duties and cooperatively with CAIT faculty and staff. The position also requires the candidate to train and supervise graduate and undergraduate students, both in the laboratory and in modeling analysis. Position Status Full Time
Posting Number 26FA0277
Posting Open Date 03/26/2026
Posting Close Date 04/26/2026
Qualifications Minimum Education and Experience Ph.D. in Structural Engineering, or a closely related field
Strong background in structural mechanics and analysis
Experience with the following: Structural health monitoring (SHM)
Finite element modeling (e.g., ABAQUS, SAP2000, ANSYS)
Machine learning / AI (Python, TensorFlow, PyTorch) Demonstrated record of peer-reviewed publications
Strong programming skills (Python, MATLAB, or similar)
Good communication and presentation skills, and a strong proficiency in technical writing and editing Certifications/Licenses Required Knowledge, Skills, and Abilities Experience with AI-driven model updating and calibration of structural systems, including learning-based or optimization approaches
Strong background in integrating physics-based models with machine learning for predictive structural analysis
Familiarity with AI-assisted design and decision-making, supporting engineers in evaluating design alternatives Preferred Qualifications Equipment Utilized Physical Demands and Work Environment Overview Statement Posting Details Special Instructions to Applicants Quick Link to Posting https://jobs.rutgers.edu/postings/271426
Campus Rutgers University- Brunswick
Home Location Campus Busch (RU- Brunswick)
City Piscataway
State NJ
Location Details Pre-employment Screenings All offers of employment are contingent upon successful completion of all pre-employment screenings. Immunization Requirements Under Policy 100.3.1 Immunization Policy for Covered Individuals, if employment will commence during Flu Season, Rutgers University may require certain prospective employees to provide proof that they are vaccinated against Seasonal Influenza for the current Flu Season, unless the University has granted the individual a medical or religious exemption. Additional infection control and safety policies may apply. Prospective employees should speak with their hiring manager to determine which policies apply to the role or position for which they are applying. Failure to provide proof of vaccination for any required vaccines or obtain a medical or religious exemption from the University will result in rescission of a candidate's offer of employment or disciplinary action up to and including termination. Equal Employment Opportunity Statement It is university policy to provide equal employment opportunity to all its employees and applicants for employment regardless of their race, creed, color, national origin, age, ancestry, nationality, marital or domestic partnership or civil union status, sex, pregnancy, gender identity or expression, disability status, liability for military service, protected veteran status, affectional or sexual orientation, atypical cellular or blood trait, genetic information (including the refusal to submit to genetic testing), or any other category protected by law. As an institution, we encourage all qualified applicants to apply. For additional information please see the Non-Discrimination Statement at the following web address: http://uhr.rutgers.edu/non-discrimination-statement

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