Post Doctoral Fellow - School of Computing

Description

Clemson University’s School of Computing is seeking a Postdoctoral Fellow to develop visual analytics techniques for outbreak detection and public health response as part of a CDC-funded project. The role involves creating interactive visualizations, integrating models into health systems, and leading research publications. Candidates should have a PhD in Computer Science, Data Science, or a related field, with expertise in data visualization, spatial data analysis, and web programming. Experience with D3.js, R, Python, and GIS applications is preferred. This is a renewable 12-month position, initially funded for two years, with a competitive salary and benefits. Start date is negotiable.

Qualifications

Required Qualifications:

• A PhD computer science, data science, or related fields, with demonstrated knowledge in data visualization, statistics, and spatial data analysis.
• Experience in visual analytics and spatial data visualization
• Experience in developing interactive visualizations in D3.js or similar libraries
• Experience with web programming
• Experience working in a research team
• Experience leading publications
• Ability to work independently, meet deadlines, and push forward a program of research Desirable Qualifications

Desirable Qualifications:

• Experience with R and Python programming languages.
• Experience with GIS applications such as Esri ArcGIS Pro.

Application Instructions

Review of applications will commence immediately and continue until the position is filled. Applicants are encouraged to load their CV and three contact references.

Equal Employment Opportunity Statement

Clemson University is an AA/EEO employer and does not discriminate against any person or group on the basis of age, color, disability, gender, pregnancy, national origin, race, religion, sexual orientation, veteran status or genetic information.