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