Postdoctoral Research Fellow of the Data Science Research Center

Duke Kunshan University


Postdoctoral Research Fellow of the Data Science Research Center

Duke Kunshan University

Job Description

Position Overview:

The Data Science Research Center (DSRC) at Duke Kunshan University (DKU) is seeking applicants with
expertise in computer vision, and in particular, human behavior video analysis to engage in research
collaboration between Duke University, Duke Kunshan University, top hospitals and major industrial

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

DSRC is an interdisciplinary research-dedicated unit that engages a broad spectrum of investigators across
disciplines. The center is now aggressively pursue interdisciplinary research on big data analytics over a
broad range of applications including autonomous driving, advanced manufacturing, digital arts, human
computer interaction, behavior signal processing, healthcare, etc.

Candidates will work on projects related to multimodal behavior signal analysis and interpretation for
mental health applications supervised by Dr. Ming Li.

Based on the performance, this post-doctor research associate may be promoted to research assistant
professor upon completion of the first contract.

Reports to:
Associate Professor of Electronical and Computer Engineering

Essential Duties:
⚫ Perform research and development works on research projects in DSRC
⚫ Help mentoring interns and volunteers for research projects in DSRC
⚫ 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:
⚫ Ph.D. degree in Electrical and Computer Engineering, Electrical Engineering, Computer Science or
related major
⚫ Candidates should have a strong research track record for one of the following topics: (1) automatic
recognition of facial expressions, gestures, gazes and human visual activities, (2) multimodal
machine learning algorithms for human behavior signal processing, (3) technologies to help
clinicians with mental health diagnoses and treatments.
⚫ Candidates should have publications in top machine learning, computer vision, affective computing
conferences and journals. Research involving clinical patients with mental health disorders (e.g.,
autism, depression, schizophrenia, suicidal ideation, addiction, etc.) and experience mentoring
students are a plus.

Application Process:

Please submit cover letter and CV to and

In your application, please refer to