Postdoctoral Position in Infrastructure Systems, Machine Learning, and Optimization at Rensselaer Polytechnic Institute Rensselaer Polytechnic Institute in United States

Postdoctoral Position Available at Rensselaer Polytechnic Institute (RPI)

The CARR Lab (Computation & AI for Risk and Resilience) at RPI is recruiting a postdoctoral researcher to work on infrastructure systems, machine learning, and optimization for risk-informed decision-making. The research is centered on transportation networks under extreme events, with broader interests in resilience, recovery planning, and interdependent infrastructure systems.

Possible topics include scalable machine learning for large-scale transportation networks, optimization and decision-making under uncertainty, multi-hazard modeling, and resilience analysis for coupled transportation and power systems. The post also mentions possible exploration of emerging computational approaches such as quantum or quantum-inspired optimization for infrastructure resilience.

The position is hosted by Min Li, Assistant Professor at Rensselaer Polytechnic Institute, and the lab’s work spans surrogate modeling, probabilistic analysis, uncertainty quantification, and real-world applications involving earthquakes, hurricanes, floods, and other extreme events.

Eligibility highlights: a PhD in Civil Engineering, Operations Research, Applied Math, Computer Science, or a related field; strong experience in machine learning, optimization, uncertainty quantification, or computational modeling; and interest in infrastructure systems, natural hazards, resilience, or decision-making under uncertainty.

Start date: Summer or Fall 2026, flexible. Funding details: not specified in the post.

How to apply: Email your CV to [email protected]. You can also review the CARR Lab website for more information about the group and its research directions.