
Postdoctoral Associate
Massachusetts Institute of Technology
Cambridge, MAFull-time$73–90K/yrSeen 2w agoSeen in employer's feed 3 days ago
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Job overview
The Postdoctoral Associate in Civil and Environmental Engineering at MIT will conduct research to develop methods for estimating the economic and environmental impacts of pavements, focusing on modeling and optimizing performance under climate and hazard conditions, and will produce scholarly publications and multimedia content for diverse audiences.
Skills & qualifications
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Qualifications
Full job description
Postdoctoral Associate
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Job Number: 26054
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Functional Area: Research - Engineering
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Department: Civil and Environmental Engineering
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School Area: Engineering
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Pay Range Minimum: $73,308
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Pay Range Maximum: $90,000
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Employment Type: Full-Time
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Employment Category: Exempt
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Visa Sponsorship Available: Yes
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Schedule:
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Pay Grade: No Grade
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Posting Description
POSTDOCTORAL ASSOCIATE, Civil and Environmental Engineering, will carry out research to develop methods to estimate the economic and environmental impact of pavements and pavement networks. This position will focus on modeling and optimizing pavement performance under evolving climate and hazard conditions. This position will advance modeling of pavement life-cycle performance utilizing a variety of tools including life-cycle assessment (LCA), machine learning techniques, and/or optimization methods. This position will carry out state of the art research into the economic and environmental impact of cement, concrete, and concrete systems and produce scholarly publications on CSHub research. This position will also work with CSHub staff to create publications and multimedia content for communicating CSHub research and implementation activities to both scientific and non-scientific audiences.The full job description is available here: https://sites.mit.edu/cshub/files/2026/09/CSHub-Postdoc-Position-Description\_Pavements-and-Infrastructure.pdf
Job Requirements
REQUIRED: PhD in Civil Engineering or a closely related field; expertise in several of the following: life cycle assessment, life-cycle cost analysis, pavement simulation, machine learning, deep reinforcement learning, and/or physics-informed modeling frameworks; and demonstrated ability to effectively communicate research results in the form of juried research journal articles and oral presentations. PREFERRED: Experience working with the cement and concrete industry is desirable and familiarity with computational modeling tools for analyzing pavement behavior under diverse conditions.
9/15/2026
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