The Big Data Health Science Center (BDHSC) at University of South Carolina (UofSC) Arnold School of Public Health invites applications for two post-doctoral research fellow positions. The qualified candidates will be expected to participate in funded Big Data projects in HIV and COVID-19 research. The primary responsibilities of the post-doctoral fellows may include, but are not limited to, literature review, data management and analysis, preparation of manuscripts, grant writing, and other related tasks. We are seeking highly motivated candidates with long-term interest in a research career in an academic setting. The applicants must have a doctoral degree in a health data-related field (e.g., public health, statistics, biostatistics, or quantitative psychology), by the time of appointment. Other qualifications include expertise in quantitative methodology and statistics, strong analytic skills, ability to take initiative and work independently, high standard of work ethic, effective oral and written communication skills, and proficiency in SPSS, SAS, STATA, R, or other statistical programming. Previous research experiences in HIV, COVID-19, or data analytics are preferred. The initial appointment for the positions will be one year but renewable contingent upon job performance and the availability of funding. For prompt consideration, please submit your application at the UofSC Human Resources web site uscjobs.sc.edu/postings/89660 (Posting # STA00678PO20). For inquires please contact Dr. Xiaoming Li at XIAOMING@mailbox.sc.edu. Review of applications will begin immediately but the positions will remain open until filled.
Recent Publications
GIScience in the Era of Artificial Intelligence: A Research Agenda Towards Autonomous GIS Preprint (arXiv)
GIS Copilot: Towards an Autonomous GIS Agent for Spatial Analysis Preprint (arXiv)
SGWR: similarity and geographically weighted regression International Journal of Geographical Information Science
Autonomous GIS: the next-generation AI-powered GIS International Journal of Digital Earth
Integrating human activity into food environments can better predict cardiometabolic diseases in the United States Nature Communications
Converting street view images to land cover maps for metric mapping: a case study on sidewalk network extraction for the wheelchair users Computers, Environment and Urban Systems