Research Fellow (AI and remote sensing)

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Job Description

The candidate will develop parameter-efficient fine-tuning techniques to adapt foundation models for downstream applications, such as climate science, remote sensing image intelligent interpretation, and natural disaster response.

Qualifications

1. Substantial experience in multimodal data processing and AI technologies, such as transformers, foundation models, and generative models.

2. Strong programming and data analysis skills are required Experience in Python and high-performance computing.

3. Strong publication record in peer-reviewed IEEE journals on image processing and in computer vision related conferences.

4. A Ph.D. degree in relevant fields such as remote sensing, image processing, or computer vision.