Research Assistant/ Fellow in Speech Processing

Position Overview

The Digital Innovation Research Center (DIRC) at Duke Kunshan University (DKU) is seeking applicants with expertise in computer vision, to engage in research collaboration between Duke Kunshan University and our industrial collaborators.

DKU is a partnership of Duke University, Wuhan University and the Municipality of Kunshan, China. The campus is located 37 miles west of Shanghai in Kunshan, which is connected to Shanghai via a 20-minute high-speed train. DKU currently offers graduate and undergraduate programs. For more info, visit http://www.dukekunshan.edu.cn.

DIRC is an interdisciplinary research-dedicated unit that engages a broad spectrum of investigators across disciplines. The center is now aggressively pursuing interdisciplinary research on big data analytics over a broad range of applications including autonomous driving, advanced manufacturing, speech and language processing, human computer interaction, healthcare, etc.

This Research Fellow will perform research and development works on research projects supervised by Dr. Ming Li.

Reports to

Prof. Ming Li, Professor of Electronical and Computer Engineering

Essential Duties

• Perform research and development works on research projects in DIRC.
• Implement and deliver solid systems and software to our research collaborators.
• Other tasks 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 electrical engineering, computer science or related major.
• Solid experience with speech processing and deep learning.
• Strong software engineering skills in Python and Linux.
• Hands-on experience with Deep Learning frameworks, such as PyTorch, etc.
• Have published papers on top conferences or journals.

Education

Master’s degree in electrical engineering, computer science or related major.

Years of Related Working Experience

Fresh graduate students or candidates with 1-2 years of relevant working experiences will be considered.