Research Fellow in Data and Computational Science (Automated Machine Learning)

Position Overview

This position will undertake a study in the use of Automated Machine Learning for addressing various learning problems. The goal is utilizing Hyper-parameter Optimization and Neural Architecture Search, to build robust Machine Learning / Deep Learning models. This position is with a one-year contract under a particular grant.

Reports to

Associate Professor of Data and Computational Science

Essential Duties

• Performing the specified research tasks in using Automated Machine Learning.
• Publishing at least one peer-reviewed article as the first author.
• 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 or Ph.D. in Computer Science, Artificial Intelligence, or another related discipline.
• Machine Learning background and expertise in the well-known Machine Learning / Deep Learning libraries of Python such as TensorFlow and PyTorch.
• Effective communication and writing skills in English.

Education

Master or Ph.D. in Computer Science, Artificial Intelligence, or another related discipline.

Years of Related Working Experience

Prior working experience is preferable but not required.