Postdoctoral Fellow (Civil and Systems Engineering)

Johns Hopkins University • Baltimore, MD

6d • Onsite

About The Position

The Xu Lab in the Department of Civil and Systems Engineering at Johns Hopkins University is recruiting a postdoctoral researcher to work on problems at the intersection of natural hazards and AI. We are looking for a candidate interested in developing rigorous sensing frameworks and AI methods for complex human-infrastructure-environment systems, with applications to disaster risk, disaster response, and disaster recovery. The position is ideal for researchers who want to combine methodological innovation with real-world impacts. Research in the lab focuses on generative modeling, causal inference, multimodal remote/in-situ/crowd sensing, LLMs for high-stake decision-making with applications on rapid disaster mapping and response, community resilience, and smart infrastructure systems. We welcome applicants from computer science, statistics, civil engineering, systems engineering, geoinformatics, and related fields.

Requirements

• Doctoral degree in a related field.

Nice To Haves

• Experience in natural hazards
• Experience in optimization
• Experience in causal inference
• Experience in foundation and generative models
• Experience in remote sensing
• Experience in multimodal sensing
• Experience in infrastructure systems
• Experience in multi-agent LLMs

Responsibilities

• Lead and collaborate on interdisciplinary research projects
• Publish in top venues across machine learning and natural hazards domains
• Mentor students and contribute to a collaborative research environment

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Education Level: Ph.D. or professional degree