Thank you for your interest in working at the Data Science Research Center at Duke Kunshan University.
Here, you will find information on the vacancies currently available for faculty, research staff, administrative staff and interns at Duke Kunshan University, as well as information on how to apply.
Please check the current openings at DSRC below.
The Data Science Research Center (DSRC) at Duke Kunshan University (DKU) is seeking a Research Fellow in Biomedical Data Acquisition and Annotation with expertise in autism diagnose and treatment as well as biomedical data annotation, to engage in research projects at the Speech and Multimodal Intelligent Information Processing (SMIIP) Lab.
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.
DSRC 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, digital arts, human computer interaction, healthcare, etc.
This research fellow will perform research and development works on research projects supervised by Dr. Ming Li.
How to Apply: Please directly apply this position via DKU official website. It is also highly recommended submit formal English resume and cover letter to firstname.lastname@example.org.
Prof. Ming Li, Associate Professor of Electrical and Computer Engineering
Years of Related Working Experience
With the rapid 5G, IoT, and social network applications, billions of intelligent devices (e.g., mobile phones and IoT devices) and massive data have been ubiquitous in our lives. These data provide valuable information for many attractive real-world applications, such as smart homes, smart retail, smart manufacturing, and autonomous driving. However, in enabling these intelligent services, traditional data-driven AI technologies require collecting and centralizing the training data in the data-center (cloud), raising severe data privacy concerns (e.g., data misuse and leakage).
To tackle the above challenge, federated learning (FL) has emerged as an attractive distributed AI paradigm, which enables many distributed clients to collaboratively train a shared machine learning model while keeping their raw data private. FL has great potential in privacy-sensitive data applications, such as IoT (wearable gadgets), healthcare (medical information protection), finance (fraudulent loans), and advertising (personalized recommendations).
Here are some research topics that Prof. Luo is currently working on:
Dr. Bing Luo
This call for proposals (CFP) aims to solicit research proposals from all DKU faculty on interdisciplinary data analysis, including arts, humanities and social sciences, and eliminate/sustainability. All awarded projects will be hosted by the DSRC and managed by the Office of Research Support and Technology Transfer (ORS).
Any faculty member with a full-time or primary appointment at DKU is eligible to submit. Each faculty member can only submit one proposal as the PI, co-PI or other participants in each year. Each faculty member can only have one on-going Data+X project funded by DSRC. Any proposal that fails to meet the eligibility requirements will be returned to the PI without review.
All proposals must involve undergraduate students at DKU. The proposed project should be appropriately designed and the proposal should clearly explain how undergraduate students could make their contributions.
Faculty members from different domains are encouraged to form a team to submit a joint proposal. However, it is not mandatory to involve multiple faculty members in one proposal and single-PI proposals will be equally encouraged.
The project budget must be appropriately planned and justified based on the proposed research activities. The budget should include the stipends for undergraduate students, and it should not include any summer salary for faculty. The proposed work cannot be funded by other internal or external sponsors during the project period.
Proposals will be reviewed and rated by considering the following aspects: (1) academic value of the proposed research, (2) training opportunities for undergraduate students, and (3) budget plan.
At the end of the project, each PI is required to submit a report summarizing the research activities including major accomplishments, scholarly products, student engagement, etc.
The AY 23/24 round CFP closed. The next CFP will be announced in early June of 2024.