Postdoc in Multimodal AI and Computational Modeling for Scalable Disaster Monitoring and Resilience
Lehigh University’s Center for Catastrophe Modeling and Resilience is recruiting a
Postdoctoral Research Associate
in
Multimodal AI and Computational Modeling for Scalable Disaster Monitoring and Resilience
.
This postdoc is centered on
computer science
,
civil engineering
,
machine learning
,
deep learning
,
remote sensing
,
geospatial AI
,
catastrophe modeling
,
computer vision
, and
data analytics
. The researcher will work with
Professor Maryam Rahnemoonfar
and the center on AI-driven disaster damage assessment, catastrophe-aware resilience modeling, multimodal geospatial data analysis, physics-informed machine learning, uncertainty quantification, and scalable pre- and post-disaster analysis.
Responsibilities include independent and collaborative research, building AI pipelines for large-scale disaster monitoring, publishing in peer-reviewed journals and conferences, contributing to proposals and interdisciplinary collaborations, and mentoring students. The role also includes participation in seminars, workshops, and broader center activities.
Eligibility requires a doctoral degree in
Civil Engineering, Computer Science, Data Science, or a closely related field
completed by the start date, plus strong skills in
Python
and frameworks such as
PyTorch
or
TensorFlow
. Experience in disaster modeling, catastrophe modeling, resilience analytics, or geospatial risk assessment is preferred, along with a publication record and strong communication skills.
This is a
full-time, one-year position
with possible renewal depending on performance and funding. Compensation is competitive and includes benefits. Lehigh also highlights healthcare, tuition remission, and retirement savings opportunities.
Application deadline:
August 1, 2026, or until filled. Applicants should submit a cover letter, CV, research plan, and three recommendation letters through the university application system.
