Postdoctoral Research Associate in Multimodal AI and Computational Modeling for Scalable Disaster Monitoring and Resilience

Job no

503870

Work type

Exempt Staff Full-time

Location

Bethlehem

Categories

Postdoc

The Center for Catastrophe Modeling and Resilience at Lehigh University seeks a motivated and talented Postdoctoral Research Associate to contribute to our research initiatives and academic programs. This role offers a unique opportunity to work with Professor Rahnemoonfar in the field of Computational Modeling, Machine Learning, Remote Sensing, and Data Analytics, engage in cutting-edge research, and gain experience in mentorship and academic service.

Position Number

: S61850

Anticipated Salary

: Compensation will be competitive and commensurate with qualifications and experience, including benefits.

About the Role

The incoming postdoctoral researcher will conduct research on AI-driven disaster damage assessment and catastrophe-aware resilience modeling in Professor Rahnemoonfar’s research group and Center for Catastrophe Modeling and Resilience. The

researcher will contribute to the development of integrated frameworks that combine catastrophe modeling, multimodal data, and advanced artificial intelligence techniques for scalable pre- and post-disaster analysis. The researcher is expected to develop independent

research initiatives, actively engage with the research group and interdisciplinary collaborators, and participate in the broader research activities of the Center for Catastrophe Modeling and Resilience.

Key Responsibilities

• Conduct independent and collaborative research in AI-driven disaster damage assessment, catastrophe modeling, multi-modal data analysis, and remote sensing analytics.
• Develop advanced Physics-informed machine learning and deep learning models for damage modeling and prediction and uncertainty quantification using multimodal geospatial datasets and numerical models.
• Design and implement scalable AI pipelines for large-scale disaster monitoring and resilience analysis.
• Prepa...