Research Fellow for Data and Environmental Sciences

Position Overview

The successful candidate will work with Prof. Zuchuan Li at Duke Kunshan University to develop state-of-the-art deep learning methods and apply them to large-scale satellite remote sensing observations to advance understanding of global aquatic biogeochemical cycles. The research will address fundamental questions in ocean biogeochemistry, including the spatial and temporal dynamics of primary production.

The project lies at the intersection of Bayesian statistics, machine learning, and satellite remote sensing, offering opportunities to develop cutting-edge machine learning methods while addressing important questions in environmental sciences. Candidates with a strong background in machine learning is required, with experience in deep learning, scientific machine learning, or remote sensing particularly welcome.

Reports to

Prof. Zuchuan Li, Assistant Professor of Data and Environmental Sciences

Essential Duties

• Conduct researches as assigned.
• Write articles and publish in peer-reviewed journals.
• Work toward achieving assigned annual objectives and KPIs, demonstrating accountability for performance and results.
• Perform other duties as assigned.
• University employees' job responsibilities will continue to expand in scope and depth as the University grows in size and complexity in its programs.

Required Qualifications

• Master’s degree in computer science, data science, and related fields.
• Sufficient in machine learning.
• Sufficient in python and related neural network packages.
• Sufficient in deep neural networks.
• Some backgrounds in remote sensing are helpful but not required.

Education

Master’s degree in computer science, data science, and related fields.

Years of Related Working Experience

Excellent fresh graduate will be considered. 1-2 years' related work experience are preferred.