Postdoctoral Research Associate in Multimodal AI, Computational Modeling, Remote Sensing, and Disaster Resilience
Lehigh University is recruiting a
Postdoctoral Research Associate
in
Multimodal AI, computational modeling, remote sensing, computer vision, geospatial AI, and disaster resilience
. The position is based at the
Center for Catastrophe Modeling and Resilience
and involves research on AI-driven disaster damage assessment, catastrophe-aware resilience modeling, multimodal geospatial data analysis, and scalable pre- and post-disaster monitoring.
The postdoc will work with
Professor Rahnemoonfar
and contribute to interdisciplinary research combining catastrophe modeling, physics-informed machine learning, deep learning, uncertainty quantification, and large-scale AI pipelines. The role also includes publishing in peer-reviewed journals, presenting at conferences, contributing to proposals, and mentoring graduate and undergraduate students.
Eligibility:
applicants should have a doctoral degree in Civil Engineering, Computer Science, Data Science, or a closely related field by the start date. Strong skills in machine learning, deep learning, computer vision, or geospatial AI are required, along with Python and frameworks such as PyTorch or TensorFlow. Experience in disaster modeling, catastrophe modeling, resilience analytics, or geospatial risk assessment is preferred.
Funding and terms:
this is a full-time one-year postdoctoral appointment with possible renewal depending on performance and funding. Compensation is competitive and includes benefits. Lehigh also highlights healthcare, tuition remission, and retirement savings opportunities.
Deadline:
August 1, 2026, or until filled. Applicants should submit a cover letter, CV, research plan, and three recommendation letters through the official Lehigh application page.
